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ALTMAN, D and LAUSEN, B and SAUERBREI, W and SCHUMACHER, M (1994) Response. JNCI Journal of the National Cancer Institute, 86 (23). p. 1799. DOI https://doi.org/10.1093/jnci/86.23.1799

Adler, W and Lausen, B (2009) Bootstrap estimated true and false positive rates and ROC curve. Computational Statistics & Data Analysis, 53 (3). pp. 718-729. DOI https://doi.org/10.1016/j.csda.2008.09.023

Adler, W and Peters, A and Lausen, B (2008) Comparison of Classifiers Applied to Confocal Scanning Laser Ophthalmoscopy Data. Methods of Information in Medicine, 47 (1). pp. 38-46. DOI https://doi.org/10.3414/me0348

Agalioti Sgompou, Vasiliki Maria (2021) Experimental studies on questionnaire design in political surveys. PhD thesis, University of Essex.

Al Baghal, T (2019) The Effect of Online and Mixed-Mode Measurement of Cognitive Ability. Social Science Computer Review, 37 (1). pp. 89-103. DOI https://doi.org/10.1177/0894439317746328

Al Baghal, T (2014) Estimating Support for Extremism and Its Correlates: The Case of Pakistan. Ask: Research and Methods, 23 (1). pp. 35-56.

Al Baghal, T (2017) Last Year Your Answer Was ...: The Impact of Dependent Interviewing Wording and Survey Factors on Reporting of Change. Field Methods, 29 (1). pp. 61-78. DOI https://doi.org/10.1177/1525822X16645073

Al Baghal, T (2014) Numeric Estimation and Response Options: An Examination of the Accuracy of Numeric and Vague Quantifier Responses. Journal of Methods and Measurement in the Social Sciences, 5 (2). pp. 58-75.

Al Baghal, T (2015) Obtaining data linkage consent for children: factors influencing outcomes and potential biases. International Journal of Social Research Methodology, 19 (6). pp. 623-643. DOI https://doi.org/10.1080/13645579.2015.1064635

Al Baghal, T and Belli, RF and Phillips, AL and Ruther, N (2014) What Are You Doing Now? Activity-Level Responses and Recall Failures in the American Time Use Survey. Journal of Survey Statistics and Methodology, 2 (4). pp. 519-537. DOI https://doi.org/10.1093/jssam/smu020

Al Baghal, T and Kelley, J (2016) The Stability of Mode Preferences: Implications for Tailoring in Longitudinal Surveys. methods, data, analyses, 10 (2). pp. 143-166.

Al Baghal, Tarek (2014) Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options. Survey Research Methods, 8 (3). pp. 169-179. DOI https://doi.org/10.18148/srm/2014.v8i3.5813

Al Baghal, Tarek and Lynn, Peter (2015) Using Motivational Statements in Web-Instrument Design to Reduce Item-Missing Rates in a Mixed-Mode Context. Public Opinion Quarterly, 79 (2). pp. 568-579. DOI https://doi.org/10.1093/poq/nfv023

Alhaji, Baba B and Dai, Hongsheng and Hayashi, Yoshiko and Vinciotti, Veronica and Harrison, Andrew and Lausen, Berthold (2016) Analysis of ChIP-seq Data Via Bayesian Finite Mixture Models with a Non-parametric Component. In: UNSPECIFIED, ? - ?.

Allum, N (2009) Surveying Science. People & Science. creators-Allum=3ANick=3A=3A.

Allum, N and Arber, S (2008) Secondary Analysis of Survey Data. In: Researching Social Life (Third Edition). Sage, London. ISBN 9781412946612.

Allum, N and Sturgis, P and Read, S (2010) Evaluating Change in Social and Political Trust in Europe. In: Methods for Cross-Cultural Analysis: Basic Strategies and Applications. European Association of Methodology Series . Taylor & Francis, pp. 35-53. ISBN 9781848728226.

Allum, N and Sturgis, P and Tabourazi, D and Brunton-Smith, I (2008) Science knowledge and attitudes across cultures: a meta-analysis. Public Understanding of Science, 17 (1). pp. 35-54. DOI https://doi.org/10.1177/0963662506070159

Allum, Nick and Conrad, Frederick and Wenz, Alexander (2018) Consequences of mid-stream mode-switching in a panel survey. Survey Research Methods, 12 (1). pp. 43-58. DOI https://doi.org/10.18148/srm/2018.v12i1.6779

Allum, Nick and Patulny, Roger and Read, Sanna and Sturgis, Patrick (2010) Re-evaluating the links between social trust, institutional trust and civic association. In: Spatial and social disparities. Springer Netherlands, pp. 199-215. ISBN 9789048187492.

Altman, DG and Lausen, B and Sauerbrei, W and Schumacher, M (1994) Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors. Journal of the National Cancer Institute, 86 (11). pp. 829-835. DOI https://doi.org/10.1093/jnci/86.11.829

Anderson, B and De Agostini, P and Laidoudi, S and Weston, A and Zong, P (2009) Time and Money in Space: Estimating Household Expenditure and Time Use at the Small Area Level in Great Britain. In: New frontiers in microsimulation modelling. Public Policy and Social Welfare . Ashgate, Aldershot. ISBN 9780754676478.

Anderson, B and De Agostini, P and Lawson, T (2011) Estimating the small area effects of austerity measures in the UK. In: 3rd General Conference of the International Microsimulation Association, ? - ?, Stockholm, Sweden.

Anderson, Ben (2009) Creating Small Area Income Deprivation Estimates For Northern Ireland: Spatial Microsimulation Modelling. Working Paper. Centre for Research in Economic Sociology and Innovation (CRESI) Working Paper 2009-07, University of Essex, Colchester, UK.

Anderson, Ben (2012) Estimating Small Area Income Deprivation: An Iterative Proportional Fitting Approach. In: Spatial Microsimulation: A Reference Guide for Users. Understanding Population Trends and Processes (Vol 6). Springer, New York. ISBN 9789400746220. (In Press)

Anderson, Ben (2011) Home OnLine Survey Call Record Documentation (v2.2). Working Paper. Centre for Research in Economic Sociology and Innovation (CRESI) Working Paper 2011-01, University of Essex, Colchester, UK.

Anderson, Ben (2008) THE SOCIAL IMPACT OF BROADBAND HOUSEHOLD INTERNET ACCESS. Information, Communication & Society, 11 (1). pp. 5-24. DOI https://doi.org/10.1080/13691180701858810

Anderson, Ben (2009) Welsh Small Area Estimates of Income Deprivation. Working Paper. Centre for Research in Economic Sociology and Innovation (CRESI) Working Paper 2009-04, University of Essex, Colchester, UK.

Anderson, Ben and De Agostini, Paola and Lawson, Tony (2014) Estimating the small area effects of austerity measures in the UK. In: Current Developments in Microsimulation and Policy Design. Ashgate, London. ISBN 978-1-4094-6932-2. Official URL: https://www.iser.essex.ac.uk/publication/521298 (In Press)

Andreeva, Galina and Calabrese, Raffaella and Osmetti, Silvia Angela (2016) A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models. European Journal of Operational Research, 249 (2). pp. 506-516. DOI https://doi.org/10.1016/j.ejor.2015.07.062

Anikin, Vasiliy (2018) Skills training and development: Russia in comparative perspective. PhD thesis, University of Essex.

Annaheim, Beatrice and Scotto, Thomas J and Gmel, Gerhard (2010) Revising the Cannabis Use Disorders Identification Test (CUDIT) by means of Item Response Theory. International Journal of Methods in Psychiatric Research, 19 (3). pp. 142-155. DOI https://doi.org/10.1002/mpr.308

Asal, Victor and Cousins, Ken and Gleditsch, Kristian Skrede (2015) Making ends meet. Journal of Peace Research, 52 (1). pp. 134-138. DOI https://doi.org/10.1177/0022343314545903

Astill, Sam and Harvey, David I and Leybourne, Stephen J and Taylor, AM Robert (2017) Tests for an end-of-sample bubble in financial time series. Econometric Reviews, 36 (6-9). pp. 651-666. DOI https://doi.org/10.1080/07474938.2017.1307490

Auspurg, K and Jackle, AE (2017) First Equals Most Important? Order Effects in Vignette-Based Measurement. Sociological Methods & Research, 46 (3). pp. 490-539. DOI https://doi.org/10.1177/0049124115591016


Bao, Yanchun and Clarke, Paul S and Smart, Melissa and Kumari, Meena (2019) Assessing the robustness of sisVIVE in a Mendelian randomization study to estimate the causal effect of body mass index on income using multiple SNPs from understanding society. Statistics in Medicine, 38 (9). pp. 1529-1542. DOI https://doi.org/10.1002/sim.8066

Bao, Yanchun and He, Shuyuan and Mei, Changlin (2007) The Koul–Susarla–Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study. Computational Statistics & Data Analysis, 51 (12). pp. 6488-6497. DOI https://doi.org/10.1016/j.csda.2007.02.025

Bao, Yanchun and Vinciotti, Veronica and Wit, Ernst and ’t Hoen, Peter AC (2013) Accounting for immunoprecipitation efficiencies in the statistical analysis of ChIP-seq data. BMC Bioinformatics, 14 (1). 169-. DOI https://doi.org/10.1186/1471-2105-14-169

Barclay, K and Keenan, K and Grundy, E and Kolk, M and MyrskylÀ, M (2016) Reproductive history and post-reproductive mortality: A sibling comparison analysis using Swedish register data. Social Science and Medicine, 155. pp. 82-92. DOI https://doi.org/10.1016/j.socscimed.2016.02.043

Belgioioso, Margherita (2018) The Choice of Terrorism in Conflict and the Outcomes of Mixed Methods of Dissent. PhD thesis, University of Essex.

Belli, RF and Miller, LD and Al Baghal, T and Soh, L (2016) Using Data Mining to Predict the Occurrence of Respondent Retrieval Strategies in Calendar Interviewing: The Quality of Retrospective Reports. Journal of Official Statistics, 32 (3). pp. 579-600. DOI https://doi.org/10.1515/JOS-2016-0030

Bhalotra, S (2006) Near rationality in wage setting. Applied Economics, 38 (21). pp. 2513-2521. DOI https://doi.org/10.1080/00036840500427734

Bhalotra, S and Clots-Figueras, I and Iyer, L (2016) Path-Breakers? Women's Electoral Success and Future Political Participation. Working Paper. Harvard Business School Working Paper, United Kingdom.

Bhalotra, S and Maselko, J and Baranov, V (2016) Maternal Depression, Parenting Behaviors and Child Development: Evidence from a Randomized Control Trial. University of Essex.

Bhalotra, S and Venkataramani, AS (2015) Shadows of the Captain of the Men of Death: Health Innovation, Human Capital Investment, and Institutions. UNSPECIFIED. University of Essex, United Kingdom.

Bhalotra, Sonia R and van Soest, Arthur Birth Spacing, Fertility and Neonatal Mortality in India: Dynamics, Frailty and Fecundity. [["eprint_typename_scholarly-edition" not defined]]

Bianchi, A and Biffignandi, S and Lynn, P (2017) Web-Face-to-Face Mixed-Mode Design in a Longitudinal Survey: Effects on Participation Rates, Sample Composition, and Costs. Journal of Official Statistics, 33 (2). pp. 385-408. DOI https://doi.org/10.1515/jos-2017-0019

Bishop, Libby and Neale, Bren (2011) Sharing Qualitative and Qualitative Longitudinal Data in the UK: Archiving Strategies and Development. IASSIST Quarterly, 34-35. pp. 23-29.

Bode, Nikolai WF and Miller, Jordan and O'Gorman, Rick and Codling, Edward A (2015) Increased costs reduce reciprocal helping behaviour of humans in a virtual evacuation experiment. Scientific Reports, 5 (1). 15896-. DOI https://doi.org/10.1038/srep15896

Bose, U and MacDonald, R and Tsoukas, S (2019) Policy initiatives and firms' access to external finance: Evidence from a panel of emerging Asian economies. Journal of Corporate Finance, 59. pp. 162-184. DOI https://doi.org/10.1016/j.jcorpfin.2016.09.008

Bosnjak, Michael and Das, Marcel and Lynn, Peter (2016) Methods for Probability-Based Online and Mixed-Mode Panels. Social Science Computer Review, 34 (1). pp. 3-7. DOI https://doi.org/10.1177/0894439315579246

Bradley, Dominique Kim Frances and Griffin, Murray (2015) Staff perceptions of a Productive Community Services implementation: A qualitative interview study. International Journal of Nursing Studies, 52 (6). pp. 1052-1063. DOI https://doi.org/10.1016/j.ijnurstu.2015.02.005

Bryan, Mark L and Jenkins, Stephen P (2016) Multilevel Modelling of Country Effects: A Cautionary Tale. European Sociological Review, 32 (1). pp. 3-22. DOI https://doi.org/10.1093/esr/jcv059

Brzozowski, M and Crossley, TF and Winter, J (2017) A Comparison of Recall and Diary Food Expenditure Data. Food Policy, 72. pp. 53-61. DOI https://doi.org/10.1016/j.foodpol.2017.08.012

Buchanan, Kathryn and Russo, Riccardo and Anderson, Ben (2014) Feeding back about eco-feedback: How do consumers use and respond to energy monitors? Energy Policy, 73. pp. 138-146. DOI https://doi.org/10.1016/j.enpol.2014.05.008

Bulmer, Martin and Sturgis, Patrick and Allum, Nick (2009) The Secondary Analysis of Survey Data [Four-Volume Set]. Sage. ISBN 9781412903844.


Calabrese, Raffaella and Elkink, Johan A (2014) ESTIMATORS OF BINARY SPATIAL AUTOREGRESSIVE MODELS: A MONTE CARLO STUDY. Journal of Regional Science, 54 (4). pp. 664-687. DOI https://doi.org/10.1111/jors.12116

Calafiore, Carmelo (2024) Active Action Recognition in Humans and Robots. Doctoral thesis, University of Essex.

Carr, Matthew J and Bao, Yanchun and Pan, Jianxin and Cruickshank, Kennedy and McNamee, Roseanne (2012) The predictive ability of blood pressure in elderly trial patients. Journal of Hypertension, 30 (9). pp. 1725-1733. DOI https://doi.org/10.1097/hjh.0b013e3283568a73

Cavaliere, G and Rahbek, A and Taylor, AMR (2012) Bootstrap Determination of the Co-Integration Rank in Vector Autoregressive Models. Econometrica, 80 (4). pp. 1721-1740. DOI https://doi.org/10.3982/ecta9099

Cavaliere, Giuseppe and Georgiev, Iliyan and Taylor, AM Robert (2016) Sieve-based inference for infinite-variance linear processes. Annals of Statistics, 44 (4). pp. 1467-1494. DOI https://doi.org/10.1214/15-AOS1419

Cavaliere, Giuseppe and Nielsen, Morten Ørregaard and Taylor, AM Robert (2015) Bootstrap score tests for fractional integration in heteroskedastic ARFIMA models, with an application to price dynamics in commodity spot and futures markets. Journal of Econometrics, 187 (2). pp. 557-579. DOI https://doi.org/10.1016/j.jeconom.2015.02.039

Cavaliere, Giuseppe and Nielsen, Morten Ørregaard and Taylor, AM Robert (2017) Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form. Journal of Econometrics, 198 (1). pp. 165-188. DOI https://doi.org/10.1016/j.jeconom.2017.01.008

Cavaliere, Giuseppe and Rahbek, Anders and Robert Taylor, AM (2015) Bootstrap Determination of the Co‐Integration Rank in VAR Models with Unrestricted Deterministic Components. Journal of Time Series Analysis, 36 (3). pp. 272-289. DOI https://doi.org/10.1111/jtsa.12104

Cavaliere, Giuseppe and Rahbek, Anders and Taylor, AM Robert (2010) Testing for co-integration in vector autoregressions with non-stationary volatility. Journal of Econometrics, 158 (1). pp. 7-24. DOI https://doi.org/10.1016/j.jeconom.2010.03.003

Cavaliere, Giuseppe and Skrobotov, Anton and Taylor, AM Robert (2019) Wild bootstrap seasonal unit root tests for time series with periodic nonstationary volatility. Econometric Reviews, 38 (5). pp. 509-532. DOI https://doi.org/10.1080/07474938.2017.1348684

Cavaliere, Giuseppe and Taylor, AM Robert and Trenkler, Carsten (2015) Bootstrap Co‐integration Rank Testing: The Effect of Bias‐Correcting Parameter Estimates. Oxford Bulletin of Economics and Statistics, 77 (5). pp. 740-759. DOI https://doi.org/10.1111/obes.12090

Cernat, Alexandru (2015) Evaluating mode differences in longitudinal data. Moving to a mixed mode paradigm of survey methodology. PhD thesis, University of Essex.

Cernat, Alexandru (2015) The Impact of Mixing Modes on Reliability in Longitudinal Studies. Sociological Methods & Research, 44 (3). pp. 427-457. DOI https://doi.org/10.1177/0049124114553802

Cernat, Alexandru (2015) Impact of mixed modes on measurement errors and estimates of change in panel data. Survey research methods, 9 (2). pp. 83-99. DOI https://doi.org/10.18148/srm/2015.v9i2.5851

Chakravarty, Abhishek (2015) Gender‐Biased Breastfeeding in Egypt: Examining the Fertility Preference Hypotheses of Jayachandran and Kuziemko (2011). Journal of Applied Econometrics, 30 (5). pp. 848-855. DOI https://doi.org/10.1002/jae.2445

Chambers, Marcus (2015) A Jackknife Correction to a Test for Cointegration Rank. Econometrics, 3 (2). pp. 355-375. DOI https://doi.org/10.3390/econometrics3020355

Chambers, Marcus J and Bailey, Roy E (1999) A Statistical Analysis of Wheat Price Fluctuations in England: 1685–1850. Journal of Agricultural Economics, 50 (3). pp. 564-588. DOI https://doi.org/10.1111/j.1477-9552.1999.tb00899.x

Chambers, Marcus J and Ercolani, Joanne S and Taylor, AM Robert (2014) Testing for seasonal unit roots by frequency domain regression. Journal of Econometrics, 178 (PART 2). pp. 243-258. DOI https://doi.org/10.1016/j.jeconom.2013.08.025

Chase, Julie (2020) "You're either part of the solution or you're part of the problem.": Exploring the view of practitioners from a local authority educational psychology service, of a socio-political approach within UK educational psychology. Other thesis, University of Essex & Tavistock and Portman NHS Trust.

Chronopoulos, Dimitris K and Girardone, Claudia and Nankervis, John C (2015) Double Bootstrap Confidence Intervals in the Two‐Stage DEA Approach. Journal of Time Series Analysis, 36 (5). pp. 653-662. DOI https://doi.org/10.1111/jtsa.12122

Clarke, HD and Norpoth, H and Whiteley, PF (1998) It's About Time: Modelling Political and Social Dynamics. In: Research Strategies in the Social Sciences: A Guide to New Approaches. Oxford University Press, pp. 127-154. ISBN 978-0-19-829238-8.

Clarke, PS and Windmeijer, F (2010) Identification of causal effects on binary outcomes using structural mean models. Biostatistics, 11 (4). pp. 756-770. DOI https://doi.org/10.1093/biostatistics/kxq024

Clarke, Paul S and Palmer, Tom M and Windmeijer, Frank (2015) Estimating Structural Mean Models with Multiple Instrumental Variables Using the Generalised Method of Moments. Statistical Science, 30 (1). pp. 96-117. DOI https://doi.org/10.1214/14-sts503

Clarke, Paul S and Windmeijer, Frank (2012) Instrumental Variable Estimators for Binary Outcomes. Journal of the American Statistical Association, 107 (500). pp. 1638-1652. DOI https://doi.org/10.1080/01621459.2012.734171

Claxton, Rob and Reades, Jon and Anderson, Ben (2012) On the value of Digital Traces for commercial strategy and public policy: Telecommunications data as a case study. World Economic Forum Global Information Technology Report, 2012 - Living in a Hyperconnected World. pp. 105-112.

Codling, Edward A and Dumbrell, Alex J (2013) Bridging the gap between theory and data in ecological models. Ecological Complexity, 16. pp. 1-8. DOI https://doi.org/10.1016/j.ecocom.2013.09.003

Condorelli, Daniele (2013) Market and non-market mechanisms for the optimal allocation of scarce resources. Games and Economic Behavior, 82 (C). pp. 582-591. DOI https://doi.org/10.1016/j.geb.2013.08.008

Corti, Louise (2012) Recent developments in archiving social research. International Journal of Social Research Methodology, 15 (4). pp. 281-290. DOI https://doi.org/10.1080/13645579.2012.688310

Crossley, Thomas F and Low, Hamish W (2014) Job Loss, Credit Constraints, and Consumption Growth. Review of Economics and Statistics, 96 (5). pp. 876-884. DOI https://doi.org/10.1162/rest_a_00417

Crossley, Thomas F and de Bresser, Jochem and Delaney, Liam and Winter, Joachim (2017) Can Survey Participation Alter Household Saving Behaviour? The Economic Journal, 127 (606). pp. 2332-2357. DOI https://doi.org/10.1111/ecoj.12398


Dai, Shuang (2023) A Distributed and Real-time Machine Learning Framework for Smart Meter Big Data. Doctoral thesis, University of Essex.

Deiana, C (2016) Three Essays in Applied Economics. University of Essex. (Unpublished)

Del Barrio Castro, Tomás and Rodrigues, Paulo MM and Taylor, AM Robert (2015) On the Behaviour of Phillips–Perron Tests in the Presence of Persistent Cycles. Oxford Bulletin of Economics and Statistics, 77 (4). pp. 495-511. DOI https://doi.org/10.1111/obes.12091

Delavande, Adeline and Manski, Charles F (2015) Using elicited choice probabilities in hypothetical elections to study decisions to vote. Electoral Studies, 38. pp. 28-37. DOI https://doi.org/10.1016/j.electstud.2015.01.006

Duygun, Meryem and Sena, Vania and Shaban, Mohamed (2016) Trademarking activities and total factor productivity: Some evidence for British commercial banks using a metafrontier approach. Journal of Banking and Finance, 72S. S70-S80. DOI https://doi.org/10.1016/j.jbankfin.2016.04.017

del Barrio Castro, TomĂĄs and Osborn, Denise R and Taylor, AM Robert (2016) The Performance of Lag Selection and Detrending Methods for HEGY Seasonal Unit Root Tests. Econometric Reviews, 35 (1). pp. 122-168. DOI https://doi.org/10.1080/07474938.2013.807710


Eggs, J and Jackle, AE (2015) Dependent Interviewing and Sub-Optimal Responding. Survey Research Methods, 9 (1). pp. 15-29. DOI https://doi.org/10.18148/srm/2015.v9i1.5860

Emrouznejad, A and Marra, M (2014) Ordered Weighted Averaging Operators 1988-2014: A Citation-Based Literature Survey. International Journal of Intelligent Systems, 29 (11). pp. 994-1014. DOI https://doi.org/10.1002/int.21673

Engel, U and Jann, B and Lynn, P and Scherpenzeel, A and Sturgis, P (2014) Improving survey methods: General Introduction. In: Improving survey methods: lessons from recent research. Routledge. ISBN 978-0-415-83625-8.

Engel, Uwe and Jann, Ben and Lynn, Peter and Scherpenzeel, Annette and Sturgis, Patrick (2014) Improving Survey Methods Lessons from Recent Research. Routledge. ISBN 9781317629719.

Eser, Eike Johannes (2021) Three Essays in Labor Economics. PhD thesis, University of Essex.

Eterovic, Nicolas (2016) Applications of Random Matrix Theory to Portfolio Management and Financial Networks. PhD thesis, University of Essex.

Evans, Peter and Welpton, Richard (2009) 'Business Structure Database: The Inter-Departmental Business Register (IDBR) for Research'. Economic & Labour Market Review, 3 (6). pp. 71-75.


Faiz, Nosheen (2021) Random Projection Optimal Trees Ensemble. PhD thesis, University of Essex.

Faleiro, Jorge (2018) Supporting Large Scale Collaboration and Crowd-Based Investigation in Economics: A Computational Representation for Description and Simulation of Financial Models. PhD thesis, University of Essex.

Figari, F and Paulus, A and Sutherland, H (2015) Microsimulation and Policy Analysis. In: Handbook of Income Distribution. Elsevier, pp. 2141-2221. ISBN 978-0-444-59430-3.

Fink, A and Lausen, B and Seidel, W and Ultsch, A (2010) Advances in Data Analysis, Data Handling and Business Intelligence, Proceedings of the 32nd Annual Conference of the Gesellschaft fĂŒr Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008. Studies in Classification, Data Analysis, and Knowledge Organization . Springer-Verlag, Berlin. ISBN 978-3-642-01043-9.

Fisher, Paul (2019) Does repeated measurement improve income data quality? Oxford Bulletin of Economics and Statistics, 81 (5). pp. 989-1011. DOI https://doi.org/10.1111/obes.12296

Fuchs, M and Hollan, K and Gasior, K (2017) Simulation of an application of the Hartz-IV reform in Austria. Public Sector Economics, 41 (4). pp. 479-500. DOI https://doi.org/10.3326/pse.41.4.4

Fumagalli, L and Knies, G and Buck, N (2017) Understanding Society, The UK Household Longitudinal Study, Harmonised British Household Panel Survey (BHPS) User Guide. ISER University of Essex, Colchester.


Gaia, A and Al Baghal, T (2019) The Longitudinal Item Count Technique: A New Technique for Asking Sensitive Questions in Surveys. methods, data, analyses, 13 (1). pp. 111-137. DOI https://doi.org/10.12758/mda.2018.09

Garrett, EM and Reid, A (2015) Introducing ?Movers? into Community Reconstructions: Linking Civil Registers of Vital Events to Local and National Census Data: A Scottish Experiment. In: Population Reconstruction. Springer, pp. 263-283. ISBN 978-3-319-19883-5.

Gaskell, George and Stares, Sally and Allansdottir, Agnes and Allum, Nick and Castro, Paula and others (2010) Europeans and Biotechnology in 2010: Winds of change? A report to the European Commission’s Directorate-General for Research on the Eurobarometer 73.1 on Biotechnology, FP7 project’Sensitive Technologies and European Public Ethics’(STEPE).

Gatkowski, Mateusz (2015) Financial Network Stability and Structure: Econometric and Network Analysis. PhD thesis, University of Essex.

Glavin, Stephen E and Sengupta, Abhijit (2015) Modelling of Consumer Goods Markets. In: Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, pp. 468-492. ISBN 9781466665484.

Gleditsch, K and Ward, MD (2008) Spatial Regression Models. Quantitative Applications in the Social Sciences, 155 . Sage Publications Inc., Thousand Oaks, CA, US. ISBN 9781412954150.

Goldstein, Harvey and Lynn, Peter and Muniz-Terrera, Graciela and Hardy, Rebecca and O’Muircheartaigh, Colm and Skinner, Chris and Lehtonen, Risto (2015) Population sampling in longitudinal suverys. Longitudinal and Life Course Studies, 6 (4). pp. 447-452. DOI https://doi.org/10.14301/llcs.v6i4.345

Gomes, Joseph Flavian (2015) The Political Economy of the Maoist Conflict in India: An Empirical Analysis. World Development, 68. pp. 96-123. DOI https://doi.org/10.1016/j.worlddev.2014.11.021

Griffin, M and Whatling, A and Micklewright, D (2013) High-pressure matches do not influence home-field advantage: A 30-year retrospective analysis of English professional football. In: Athletic Insight's Writings of 2012. UNSPECIFIED, pp. 269-282. ISBN 9781626181205.

Gul, Asma and Khan, Zardad and Perperoglou, Aris and Mahmoud, Osama and Miftahuddin, Miftahuddin and Adler, Werner and Lausen, Berthold (2016) Ensemble of Subset of k-Nearest Neighbours Models for Class Membership Probability Estimation. In: UNSPECIFIED, ? - ?.

Gul, Naz (2018) Optimal survival trees ensemble. Masters thesis, University of Essex.


Hallam, M and Olmo, J (2014) Semiparametric Density Forecasts of Daily Financial Returns from Intraday Data. Journal of Financial Econometrics, 12 (2). pp. 408-432. DOI https://doi.org/10.1093/jjfinec/nbt016

Hallam, Mark and Olmo, Jose (2014) Forecasting daily return densities from intraday data: A multifractal approach. International Journal of Forecasting, 30 (4). pp. 863-881. DOI https://doi.org/10.1016/j.ijforecast.2014.01.007

Hallam, Mark and Olmo, Jose (2018) Statistical Tests of Distributional Scaling Properties for Financial Return Series. Quantitative Finance, 18 (7). pp. 1211-1232. DOI https://doi.org/10.1080/14697688.2017.1298832

Hamdan, Nurhidayah (2022) Statistical Modelling on the Severity of Road Accidents in Great Britain. PhD thesis, University of Essex.

Hammond, Catherine Campbell (2018) Relationships between psychological factors and immune dysregulation in context: a life-course approach. PhD thesis, University of Essex.

Hancock, R and Morciano, M and Pudney, S and Zantomio, F (2015) Do household surveys give a coherent view of disability benefit targeting?: a multisurvey latent variable analysis for the older population in Great Britain. Journal of the Royal Statistical Society Series A (Statistics in Society), 178 (4). pp. 815-836. DOI https://doi.org/10.1111/rssa.12107

Hanly, Mark and Clarke, Paul and Steele, Fiona (2016) Sequence Analysis of Call Record Data:Exploring the Role of Different Cost Settings. Journal of the Royal Statistical Society Series A: Statistics in Society, 179 (3). pp. 793-808. DOI https://doi.org/10.1111/rssa.12143

Hare, Christopher and Armstrong, David A and Bakker, Ryan and Carroll, Royce and Poole, Keith T (2015) Using Bayesian Aldrich-McKelvey Scaling to Study Citizens' Ideological Preferences and Perceptions. American Journal of Political Science, 59 (3). pp. 759-774. DOI https://doi.org/10.1111/ajps.12151

Harris, David and Kew, Hsein and Taylor, AM Robert (2019) Level Shift Estimation in the Presence of Non-stationary Volatility with an Application to the Unit Root Testing Problem. Working Paper. Essex Finance Centre Working Papers, Colchester.

Harvey, David I and Leybourne, Stephen J and Sollis, Robert and Taylor, AM Robert (2016) Tests for explosive financial bubbles in the presence of non-stationary volatility. Journal of Empirical Finance, 38 (Pt.B). pp. 548-574. DOI https://doi.org/10.1016/j.jempfin.2015.09.002

Harvey, David I and Leybourne, Stephen J and Taylor, AM Robert (2010) Robust methods for detecting multiple level breaks in autocorrelated time series. Journal of Econometrics, 157 (2). pp. 342-358. DOI https://doi.org/10.1016/j.jeconom.2010.02.003

Harvey, David I and Leybourne, Stephen J and Taylor, AM Robert (2012) Unit root testing under a local break in trend. Journal of Econometrics, 167 (1). pp. 140-167. DOI https://doi.org/10.1016/j.jeconom.2011.10.006

Healy, P and Edwards, PJ and Smith, V and Murphy, E and Newell, J and Burke, E and Meskell, P and Galvin, S and Lynn, P and Stovold, E and Mccarthy, B and Biesty, LM and Devane, D (2018) Design-based methods to influence the completeness of response to self-administered questionnaires. Cochrane Database of Systematic Reviews, 2018 (7). DOI https://doi.org/10.1002/14651858.MR000048

Hernandez-Alava, M and Pudney, S (2016) bicop: A command for fitting bivariate ordinal regressions with residual dependence characterized by a copula function and normal mixture marginals. The Stata Journal, 16 (1). pp. 159-184. DOI https://doi.org/10.1177/1536867x1601600114

Holcekova, Maria (2020) Disparity in precarity : Measuring insecurity and inequality in youth transitions from education into and within the labour market. PhD thesis, University of Essex.

Hothorn, T and Lausen, B (2002) Bagging Combined Classifiers. In: Classification, Clustering, and Data Analysis. Recent Advances and Applications. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Heidelberg, pp. 177-184. ISBN 354043691x.

Hothorn, T and Lausen, B (2003) Bagging Tree Classifiers for Laser Scanning Images: Data- and Simulation-based Strategy. Artificial Intelligence in Medicine, 27 (1). pp. 65-79. DOI https://doi.org/10.1016/s0933-3657(02)00085-4

Hothorn, T and Lausen, B (2005) Bundling classifiers by bagging trees. Computational Statistics & Data Analysis, 49 (4). pp. 1068-1078. DOI https://doi.org/10.1016/j.csda.2004.06.019

Hothorn, T and Lausen, B (2003) Double-Bagging: Combining Classifiers by Bootstrap Aggregation. Pattern Recognition, 36 (6). pp. 1303-1309. DOI https://doi.org/10.1016/s0031-3203(02)00169-3

Hothorn, T and Lausen, B (2003) On the Exact Distribution of Maximally Selected Rank Statistics. Computational Statistics & Data Analysis, 43 (2). pp. 121-137. DOI https://doi.org/10.1016/s0167-9473(02)00225-6

Hothorn, T and Lausen, B and Benner, A and Radespiel-Tröger, M (2003) Bagging survival trees. Statistics in Medicine, 23 (1). pp. 77-91. DOI https://doi.org/10.1002/sim.1593

Hothorn, T and Pal, I and Gefeller, O and Lausen, B and Michelson, G and Paulus, D (2003) Automated Classification of Optic Nerve Head Topography Images for Glaucoma Screening. In: Classification, Automatization, and New Media. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Heidelberg, pp. 346-356. ISBN 9783540441830.

Hu, Shenggang (2023) Drawing Exact Samples: Rejection Sampling, Density Fusion and Constrained Disaggregation. Doctoral thesis, University of Essex.

Hu, Yang (2016) Marriage of matching doors: Marital sorting on parental background in China. Demographic Research, 35. pp. 557-580. DOI https://doi.org/10.4054/demres.2016.35.20

Hugh-Jones, David and Kurino, Morimitsu and Vanberg, Christoph (2014) An experimental study on the incentives of the probabilistic serial mechanism. Games and Economic Behavior, 87. pp. 367-380. DOI https://doi.org/10.1016/j.geb.2014.06.001


Iacone, Fabrizio and Leybourne, Stephen J and Robert Taylor, AM (2014) A FIXED‐ <i>b</i> TEST FOR A BREAK IN LEVEL AT AN UNKNOWN TIME UNDER FRACTIONAL INTEGRATION. Journal of Time Series Analysis, 35 (1). pp. 40-54. DOI https://doi.org/10.1111/jtsa.12049


Jackle, Annette and Burton, Jonathan and Couper, Mick and Lessof, Carli (2019) Participation in a Mobile App Survey to Collect Expenditure Data as Part of a Large-Scale Probability Household Panel: Coverage and Participation Rates and Biases. Survey Research Methods, 13 (1). pp. 23-44. DOI https://doi.org/10.18148/srm/2019.v1i1.7297

Jackle, Annette and Eckman, Stephanie (2020) Is that still the same? Has that Changed? On the Accuracy of Measuring Change with Dependent Interviewing. Journal of Survey Statistics and Methodology, 8 (4). pp. 706-725. DOI https://doi.org/10.1093/jssam/smz021

Jackle, Annette and Lynn, Peter and Burton, Jon (2015) Going Online with a Face-to-Face Household Panel: Effects of a Mixed Mode Design on Item and Unit Non-Response. Survey Research Methods, 9 (1). pp. 57-70. DOI https://doi.org/10.18148/srm/2015.v9i1.5475

Johnston, D and Propper, C and Pudney, S and Shields, M (2014) Child mental health and educational attainment: multiple observers and the measurement error problem. Journal of Applied Econometrics, 29 (6). pp. 880-900. DOI https://doi.org/10.1002/jae.2359

Johnston, Lisa G and Luthra, Renee Reichl (2014) Analyzing data in RDS. In: Applying Respondent Driven Sampling to Migrant Populations Lessons from the Field. Palgrave Macmillan, pp. 84-100. ISBN 9781137363602. Official URL: https://doi.org/10.1057/9781137363619_8


Kahn, Charles M and Liñares-Zegarra, JosĂ© and Stavins, Joanna (2017) Are there Social Spillovers in Consumers’ Security Assessments of Payment Instruments? Journal of Financial Services Research, 52 (1-2). pp. 5-34. DOI https://doi.org/10.1007/s10693-017-0270-9

Kaminska, O (2013) Unit nonresponse and weighting adjustments: a critical review: discussion. Journal of Official Statistics, 29 (3). pp. 355-358. DOI https://doi.org/10.2478/jos-2013-0027

Kaminska, O and Lynn, P (2017) The implications of alternative allocation criteria in adaptive design for panel surveys. Journal of Official Statistics, 33 (3). pp. 781-789. DOI https://doi.org/10.1515/jos-2017-0036

Kaminska, Olena and Foulsham, Tom (2016) Eye-tracking Social Desirability Bias. BMS Bulletin of Sociological Methodology, 130 (1). pp. 73-89. DOI https://doi.org/10.1177/0759106315627591

Kaminska, Olena and Lynn, Peter (2017) Survey-Based Cross-Country Comparisons Where Countries Vary in Sample Design: Issues and Solutions. Journal of Official Statistics, 33 (1). pp. 123-136. DOI https://doi.org/10.1515/jos-2017-0007

Khan, Z and Shabbir, J and Griffiths, M and Lausen, B (2013) On the ratio method of estimation via auxiliary attributes in simple and stratified random sampling. International Journal of Statistics and Systems, 8 (2). pp. 163-180.

Khan, Zardad and Gul, Asma and Mahmoud, Osama and Miftahuddin, Miftahuddin and Perperoglou, Aris and Adler, Werner and Lausen, Berthold (2016) An Ensemble of Optimal Trees for Class Membership Probability Estimation. In: UNSPECIFIED, ? - ?.

Kirby, G and Carson, J and Dunlop, F and Dibben, C and Dearle, A and Williamson, L and Garrett, EM and Reid, A (2015) Automatic Methods for Coding Historical Occupation Descriptions to Standard Classifications. In: Population Reconstruction. Springer, pp. 43-60. ISBN 978-3-319-19883-5.

Knies, G (2017) Exploring the Value of Understanding Society for Neighbourhood Effects Analyses. Research Data Journal for the Humanities and Social Sciences, 2 (1). pp. 1-22. DOI https://doi.org/10.1163/24523666-01000006

Knies, Gundi and Burton, Jonathan (2014) Analysis of four studies in a comparative framework reveals: health linkage consent rates on British cohort studies higher than on UK household panel surveys. BMC Medical Research Methodology, 14 (1). 125-. DOI https://doi.org/10.1186/1471-2288-14-125

Komodromou, Maria Elena (2017) Women Employment and Health. PhD thesis, University of Essex.

Koop, G and Korobilis, D and Pettenuzzo, D (2019) Bayesian Compressed Vector Autoregressions. Journal of Econometrics, 210 (1). pp. 135-154. DOI https://doi.org/10.1016/j.jeconom.2018.11.009

Korkos, Ioannis (2020) On Explosive Time Series. PhD thesis, University of Essex.

Korobilis, D (2017) Quantile regression forecasts of inflation under model uncertainty. International Journal of Forecasting, 33 (1). pp. 11-20. DOI https://doi.org/10.1016/j.ijforecast.2016.07.005

Kostov, Philip and Arun, Thankom and Annim, Samuel (2015) Access to financial services: The case of the ‘Mzansi’ account in South Africa. Review of Development Finance, 5 (1). pp. 34-42. DOI https://doi.org/10.1016/j.rdf.2015.04.001

Krech, Volkhard and Hero, Markus and Huber, Stefan and Ketola, Kimmi and TraunmĂŒller, Richard (2013) Religious Diversity and Religious Vitality: New Measuring Strategies and Empirical Evidence. Interdisciplinary Journal of Research on Religion, 9 (3).

Kumari, Meena and Holmes, Michael V and Dale, Caroline E and Hubacek, Jaroslav A and Palmer, Tom M and Pikhart, Hynek and Peasey, Anne and Britton, Annie and Horvat, Pia and Kubinova, Ruzena and Malyutina, Sofia and Pajak, Andrzej and Tamosiunas, Abdonas and Shankar, Aparna and Singh‐Manoux, Archana and Voevoda, Mikhail and Kivimaki, Mika and Hingorani, Aroon D and Marmot, Michael G and Casas, Juan P and Bobak, Martin (2014) Alcohol consumption and cognitive performance: a <scp>M</scp> endelian randomization study. Addiction, 109 (9). pp. 1462-1471. DOI https://doi.org/10.1111/add.12568

Kummervold, PE and Chronaki, CE and Lausen, B and Prokosch, H and Rasmussen, J and Santana, S and Staniszewski, A and Wangberg, SC (2008) eHealth Trends in Europe 2005-2007: A Population-Based Survey. Journal of Medical Internet Research, 10 (4). creators-Lausen=3ABerthold=3A=3A. DOI https://doi.org/10.2196/jmir.1023


Lagorio, Carlos (2019) Applications of Paradata in Survey Design and Analysis. PhD thesis, University of Essex.

Lausen, B and Florea, A (2015) European Conference on Data Analysis (ECDA2015). Data Science: Foundations, Methods and Applications. 2-4 September 2015. Book of Abstracts. University of Essex, Department of Mathematical Sciences, Colchester, UK.

Lausen, B and Hothorn, T and Bretz, F and Schumacher, M (2004) Assessment of Optimal Selected Prognostic Factors. Biometrical Journal, 46 (3). pp. 364-374. DOI https://doi.org/10.1002/bimj.200310030

Lausen, B and Krolak-Schwerdt, S and Böhmer, M (2015) Data science, learning by latent structures, and knowledge discovery. Studies in Classification, Data Analysis, and Knowledge Organization, 48 . Springer, pp. 1-22. ISBN 978-3-662-44982-0.

Lausen, B and Lerche, R and Schumacher, M (2002) Maximally Selected Rank Statistics for Dose-Response Problems. Biometrical Journal, 44 (2). pp. 131-147. DOI https://doi.org/10.1002/1521-4036(200203)44:2<131::aid-bimj131>3.0.co;2-z

Lausen, B and Sauerbrei, W and Schumacher, M (1994) Classification and regression trees (CART) used for the exploration of prognostic factors measured on different scales. In: Computational Statistics. Contributions to Statistics . Physica Verlag, Tiergartenstr 17, D-69121 Heidelberg, Germany, pp. 483-496. ISBN 3-7908-0813-X.

Lausen, B and Schumacher, M (1996) Evaluating the effect of optimized cutoff values in the assessment of prognostic factors. Computational Statistics & Data Analysis, 21 (3). pp. 307-326. DOI https://doi.org/10.1016/0167-9473(95)00016-x

Lausen, B and Schumacher, M (1992) Maximally Selected Rank Statistics. Biometrics, 48 (1). creators-Lausen=3ABerthold=3A=3A. DOI https://doi.org/10.2307/2532740

Lausen, B and van den Poel, D and Ultsch, A (2013) Algorithms from and for Nature and Life: Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Berlin. ISBN 978-3-319-00034-3.

Lawson, Tony (2012) An Agent-based Model of Household Spending Using a Random Assignment Scheme. Working Paper. Centre for Research in Economic Sociology and Innovation (CRESI) Working Paper 2012-03, Colchester.

Lawson, Tony (2009) A Demographic Microsimulation Model Using Netlogo. Working Paper. Centre for Research in Economic Sociology and Innovation (CRESI) Working Paper 2009-02, University of Essex, Colchester, UK.

Lawson, Tony (2008) Methods and Tools for the Microsimulation and Forecasting of Household Expenditure - A Review. Working Paper. Technology and Social Change Research Centre (TASC) Working Paper 2008-01, University of Essex, Colchester, UK.

Lawson, Tony (2009) A prototype agent-based UK household forecast expenditure model (version 3.0). Working Paper. Centre for Research in Economic Sociology and Innovation (CRESI), University of Essex, Colchester, UK.

Leemann, L (2014) Strategy and Sample Selection -- A Strategic Selection Estimator. Political Analysis, 22 (3). pp. 374-397. DOI https://doi.org/10.1093/pan/mpt026

Lewis, Nicola D and Morozov, Andrew and Breckels, Mark N and Steinke, Michael and Codling, Edward A (2013) Multitrophic Interactions in the Sea: Assessing the Effect of Infochemical-Mediated Foraging in a 1-d Spatial Model. Mathematical Modelling of Natural Phenomena, 8 (6). pp. 25-44. DOI https://doi.org/10.1051/mmnp/20138603

Longhi, Simonetta and Nandi, Alita (2015) A Practical Guide to Using Panel Data. Sage. ISBN 9781446210864. Official URL: http://serlib0.essex.ac.uk/record=b1877769~S5

Lugtig, PJ (2014) Panel Attrition: Separating Stayers, Fast Attriters, Gradual Attriters, and Lurkers. Sociological Methods & Research, 43 (4). pp. 699-723. DOI https://doi.org/10.1177/0049124113520305

Lugtig, PJ and Das, M and Scherpenzeel, A (2014) Nonresponse and attrition in a probability-based online panel for the general population. In: Online Panel Research: A Data Quality Perspective. Wiley, pp. 104-126. ISBN 9781119941774.

Lugtig, PJ and Glasner, T and Boevïżœ, AJ (2015) Reducing Underreports of Behaviors in Retrospective Surveys: The Effects of Three Different Strategies. International Journal of Public Opinion Research, 28 (4). pp. 583-595. DOI https://doi.org/10.1093/ijpor/edv032

Lugtig, PJ and Jïżœckle, AE (2014) Can I just check...? Effects of edit check questions on measurement error and survey estimates. Journal of Official Statistics, 30 (1). pp. 45-62. DOI https://doi.org/10.2478/jos-2014-0003

Lugtig, PJ and Toepoel, V (2016) The Use of PCs, Smartphones, and Tablets in a Probability-Based Panel Survey: Effects on Survey Measurement Error. Social Science Computer Review, 34 (1). pp. 78-94. DOI https://doi.org/10.1177/0894439315574248

Lynn, P (2014) Coping with nonresponse: Overview and introduction. In: Improving survey methods: lessons from recent research. Routledge. ISBN 978-0-415-83625-8.

Lynn, P (2005) Pure imputation for statistical surveys. Journal of Obnoxious Statistics, 1. pp. 72-76.

Lynn, P (2004) The Use of Substitution in Surveys. The Survey Statistician, 49. pp. 14-16.

Lynn, PJ (2004) Development of a sampling method for household surveys in post-war Bosnia and Herzegovina. Statistics in Transition, 6 (6). pp. 953-978.

Lynn, PJ (2015) Targeted response inducement strategies on longitudinal surveys. In: Improving Survey Methods: Lessons from Recent Research. European Association of Methodology (1). Routledge, New York, pp. 322-338. ISBN 9781317629719. Official URL: https://www.routledge.com/Improving-Survey-Methods...

Lynn, Peter (2019) The Advantage and Disadvantage of Implicitly Stratified Sampling. methods, data, analyses, 13 (1). pp. 253-266. DOI https://doi.org/10.12758/mda.2018.02

Lynn, Peter (2016) Targeted Appeals for Participation in Letters to Panel Survey Members. Public Opinion Quarterly, 80 (3). pp. 771-782. DOI https://doi.org/10.1093/poq/nfw024

Lynn, Peter and Nandi, Alita and Parutis, Violetta and Platt, Lucinda (2018) Design and implementation of a high quality probability sample of immigrants and ethnic minorities: lessons learnt. Demographic Research, 38 (21). pp. 513-548. DOI https://doi.org/10.4054/DemRes.2018.38.21

Lynn, Peter J (2017) From standardised to targeted survey procedures for tackling non-response and attrition. Survey Research Methods, 11 (1). pp. 93-103. DOI https://doi.org/10.18148/srm/2017.v11i1.6734


Ma, Shuai (2022) Tracking and Nowcasting Directional Changes in the Forex Market. PhD thesis, University of Essex.

Mahmoud, Osama and Harrison, Andrew and Gul, Asma and Khan, Zardad and Metodiev, Metodi V and Lausen, Berthold (2016) Minimizing Redundancy Among Genes Selected Based on the Overlapping Analysis. In: UNSPECIFIED, ? - ?.

Makarovs, Kirils (2021) Examining disparities in public support for, knowledge about, and trust in science. PhD thesis, University of Essex.

Marra, Marianna and Emrouznejad, Ali and Ho, William and Edwards, John S (2015) The value of indirect ties in citation networks: SNA analysis with OWA operator weights. Information Sciences, 314. pp. 135-151. DOI https://doi.org/10.1016/j.ins.2015.02.017

Mastrobuoni, G (2000) Public pensions in Italy and Germany : a comparison based on panel data. Rivista di Politica Economica, 90 (12). pp. 33-69.

Matsaganis, Manos and Leventi, Chrysa (2014) The Distributional Impact of Austerity and the Recession in Southern Europe. South European Society and Politics, 19 (3). pp. 393-412. DOI https://doi.org/10.1080/13608746.2014.947700

Mavletova, Aigul and Lynn, Peter (2019) Item Nonresponse Rates and Panel Conditioning in a Longitudinal Survey among Youth. Field Methods, 31 (2). pp. 95-115. DOI https://doi.org/10.1177/1525822x18825103

May, Keith A and Vincent, Benjamin T (2017) Fewer Statistical Tests 
 or Better Ones? Perception, 46 (1). pp. 3-5. DOI https://doi.org/10.1177/0301006616677909

McCutcheon, AL and Rao, K and Kaminska, O (2014) The untold story of multi-mode (online and mail) consumer panels: from optimal recruitment to retention and attrition. In: Online Panel Research: A Data Quality Perspective. Wiley, pp. 104-126. ISBN 9781119941774.

Mikheeva, Liudmila (2022) A Novel Statistical Framework to Detect Complex 3D Genome Organisation Patterns into Topologically Associated Domains. PhD thesis, University of Essex.

Moldovan, Andreea-Loredana (2018) Socio-economic disparities in science knowledge, biomedical self-efficacy, and public participation in medical decision-making. PhD thesis, University of Essex.

Morciano, M and Hancock, RM and Pudney, S (2015) Birth-cohort trends in older-age functional disability and their relationship with socio-economic status: Evidence from a pooling of repeated cross-sectional population-based studies for the UK. Social Science & Medicine, 136137. pp. 1-9. DOI https://doi.org/10.1016/j.socscimed.2015.04.035


Nandi, Alita and Nicoletti, Cheti (2014) Explaining personality pay gaps in the UK. Applied Economics, 46 (26). pp. 3131-3150. DOI https://doi.org/10.1080/00036846.2014.922670

Nandi, Alita and Platt, Lucinda (2017) Are there differences in responses to social identity questions in face-to-face versus telephone interviews? Results of an experiment on a longitudinal survey. International Journal of Social Research Methodology, 20 (2). pp. 151-166. DOI https://doi.org/10.1080/13645579.2016.1165495

Nankervis, JC and Kougoulis, P and Coakley, J (2015) Generalized Variance-Ratio Tests in the Presence of Statistical Dependence. Journal of Time Series Analysis, 36 (5). pp. 687-705. DOI https://doi.org/10.1111/jtsa.12124

Nankervis, John C and Savin, NE (2010) Testing for Serial Correlation: Generalized Andrews–Ploberger Tests. Journal of Business &amp; Economic Statistics, 28 (2). pp. 246-255. DOI https://doi.org/10.1198/jbes.2009.08115

Nankervis, John C and Savin, Nathan E (2012) Testing for uncorrelated errors in ARMA models: non‐standard Andrews‐Ploberger tests. The Econometrics Journal, 15 (3). pp. 516-534. DOI https://doi.org/10.1111/j.1368-423x.2012.00379.x

Nguyen, Minh Khoa and Phelps, Steve and Ng, Wing Lon (2015) Simulation based calibration using extended balanced augmented empirical likelihood. Statistics and Computing, 25 (6). pp. 1093-1112. DOI https://doi.org/10.1007/s11222-014-9506-9

Nicolaas, G and Campanelli, P and Hope, S and Jïżœckle, AE and Lynn, P (2015) Revisiting ?yes/no? versus ?check all that apply?: Results from a mixed modes experiment. Survey research methods, 9 (3). pp. 189-204. DOI https://doi.org/10.18148/srm/2015.v9i3.6151

Nicolaas, Gerry and Lynn, Peter (2002) Random-Digit Dialling in the UK: Viability Revisited. Journal of the Royal Statistical Society Series A: Statistics in Society, 165 (2). pp. 297-316. DOI https://doi.org/10.1111/1467-985x.00600

Notley, C and Green, G and Marsland, L (2014) Qualitative Analysis. In: An Introduction to Health Services Research A Practical Guide. Sage, London, pp. 327-342. ISBN 9781446247389.


Opitz, O and Lausen, B and Klar, R (1993) Concepts, Methods and Applications Proceedings of the 16th Annual Conference of the “Gesellschaft fĂŒr Klassifikation e.V.” University of Dortmund, April 1–3, 1992. Studies in Classification, Data Analysis, and Knowledge Organization . Springer. ISBN 978-3-540-56736-3.

Orteca, Maria Katia (2015) An investigation of social capital in Britain using small area estimation analysis. PhD thesis, University of Essex.

Ottaviano, GIP and Peri, G and Wright, GC (2013) Immigration, Offshoring, and American Jobs. American Economic Review, 103 (5). pp. 1925-1959. DOI https://doi.org/10.1257/aer.103.5.1925

O’Neill, Dara and Benzeval, Michaela and Boyd, Andy and Calderwood, Lisa and Cooper, Cyrus and Corti, Louise and Dennison, Elaine and Fitzsimons, Emla and Goodman, Alissa and Hardy, Rebecca and Inskip, Hazel and Molloy, Lynn and Sacker, Amanda and Sudlow, Allan and Sullivan, Alice and Park, Alison (2019) Data Resource Profile: Cohort and Longitudinal Studies Enhancement Resources (CLOSER). International Journal of Epidemiology, 48 (3). 675-676i. DOI https://doi.org/10.1093/ije/dyz004


Parey, M and Ruhose, J and Waldinger, F and Netz, N (2017) The Selection of High-Skilled Emigrants. The Review of Economics and Statistics, 99 (5). pp. 776-792. DOI https://doi.org/10.1162/REST_a_00687

Parey, Matthias and Rasul, Imran (2021) Measuring the Market Size for Cannabis: a New Approach Using Forensic Economics. Economica, 88 (350). pp. 297-338. DOI https://doi.org/10.1111/ecca.12354

Pearce, Jen and Vine, Jim (2014) Quantifying residualisation: the changing nature of social housing in the UK. Journal of Housing and the Built Environment, 29 (4). pp. 657-675. DOI https://doi.org/10.1007/s10901-013-9372-3

Perperoglou, Aris (2014) Cox models with dynamic ridge penalties on time‐varying effects of the covariates. Statistics in Medicine, 33 (1). pp. 170-180. DOI https://doi.org/10.1002/sim.5921

Perperoglou, Aris (2016) A special case of reduced rank models for identification and modelling of time varying effects in survival analysis. Statistics in Medicine, 35 (28). pp. 5135-5148. DOI https://doi.org/10.1002/sim.7088

Peters, A and Hothorn, T and Lausen, B (2005) Generalised indirect classifiers. Computational Statistics & Data Analysis, 49 (3). pp. 849-861. DOI https://doi.org/10.1016/j.csda.2004.06.008

Peters, A and Lausen, B (2003) Direct and Indirect Classification in Clinical Research. Biometrical Journal, 45 (8). pp. 1023-1041. DOI https://doi.org/10.1002/bimj.200390059

Peters, A and Lausen, B and Michelson, G and Gefeller, O (2003) Diagnosis of glaucoma by indirect classifiers. Methods of Information in Medicine, 42 (1). pp. 99-103. DOI https://doi.org/10.1055/s-0038-1634214

Phelps, Steve and Ng, Wing Lon (2014) A SIMULATION ANALYSIS OF HERDING AND UNIFRACTAL SCALING BEHAVIOUR. Intelligent Systems in Accounting, Finance and Management, 21 (1). pp. 39-58. DOI https://doi.org/10.1002/isaf.1346

Platt, Lucinda and Luthra, Renee Reichl and Frere-Smith, Tom (2015) Adapting chain referral methods to sample new migrants. Demographic Research, 33 (1). pp. 665-700. DOI https://doi.org/10.4054/DemRes.2015.33.24

Polselli, Annalivia (2022) Essays on Econometric Methods. PhD thesis, University of Essex.

Poole, Keith and Lewis, Jeffrey and Rosenthal, Howard and Lo, James and Carroll, Royce (2016) Recovering a Basic Space from Issue Scales in<i>R</i>. Journal of Statistical Software, 69 (7). pp. 1-21. DOI https://doi.org/10.18637/jss.v069.i07


Radespiel-Tröger, M and Rabenstein, T and Schneider, HT and Lausen, B (2003) Comparison of tree-based methods for prognostic stratification of survival data. Artificial Intelligence in Medicine, 28 (3). pp. 323-341. DOI https://doi.org/10.1016/s0933-3657(03)00060-5

Reid, A and Garrett, EM and Dibben, C and Williamson, L (2015) ?A confession of ignorance?: deaths from old age and deciphering cause-of-death statistics in Scotland, 1855?1949. The History of the Family, 20 (3). pp. 320-344. DOI https://doi.org/10.1080/1081602x.2014.1001768

Rialland, PCRP (2018) Three Essays in Applied Microeconomics. PhD thesis, University of Essex.

Richiardi, MG (2017) The code and the model. A response to "The Code is the Model", by Luzius Meisser. International Journal of Microsimulation, 10 (3). pp. 204-208. DOI https://doi.org/10.34196/ijm.00171

Richiardi, MG and Richardson, RE (2017) JAS-mine: A new platform for microsimulation and agent-based modelling. International Journal of Microsimulation, 10 (1). pp. 106-134. DOI https://doi.org/10.34196/ijm.00151

Richiardi, Matteo G (2017) The Future of Agent-Based Modeling. Eastern Economic Journal, 43 (2). pp. 271-287. DOI https://doi.org/10.1057/s41302-016-0075-9

Roberts, Caroline and Eva, Gillian and Allum, Nick and Lynn, Peter (2010) Data quality in telephone surveys and the effect of questionnaire length: a cross-national experiment. UNSPECIFIED. UNSPECIFIED, ISER Working Paper Series.

Robson, K and Pevalin, DJ (2016) Multilevel Modeling in Plain Language. Sage, London. ISBN 9780857029164.

Rolison, JJ and Moutari, S (2018) Risk-Exposure Density and Mileage Bias in Crash Risk for Older Drivers. American Journal of Epidemiology, 187 (1). pp. 53-59. DOI https://doi.org/10.1093/aje/kwx220


Sadig, Husam Eldin Sadig Ahmed (2015) The Investigation of Alternative Weighting Approaches to Adjust for Non-response in Longitudinal Surveys. PhD thesis, University of Essex.

Sala, Emanuela and Knies, Gundi and Burton, Jonathan (2014) Propensity to consent to data linkage: experimental evidence on the role of three survey design features in a UK longitudinal panel. International Journal of Social Research Methodology, 17 (5). pp. 455-473. DOI https://doi.org/10.1080/13645579.2014.899101

Salazar, Yuri and Ng, Wing Lon (2015) Nonparametric estimation of general multivariate tail dependence and applications to financial time series. Statistical Methods &amp; Applications, 24 (1). pp. 121-158. DOI https://doi.org/10.1007/s10260-014-0274-7

Sampid, M and Hasim, H Estimating Value-at-Risk using a Multivariate Copula-Based Volatility Model. The European Journal of Finance. (Submitted)

Sanders, D and Brynin, M (1998) Ordinary Least Squares and Logistic Regression Analysis. In: Research Strategies in the Social Sciences: A Guide to New Approaches. Oxford University Press. ISBN 978-0-19-829238-8.

Santana, S and Lausen, B and Bujnowska-Fedak, M and Chronaki, CE and Kummervold, PE and Rasmussen, J and Sorensen, T (2010) Online Communication Between Doctors and Patients in Europe: Status and Perspectives. Journal of Medical Internet Research, 12 (2). creators-Lausen=3ABerthold=3A=3A. DOI https://doi.org/10.2196/jmir.1281

Santana, S and Lausen, B and Bujnowska-Fedak, M and Chronaki, CE and Prokosch, H and Wynn, R (2011) Informed citizen and empowered citizen in health: results from an European survey. BMC Family Practice, 12 (20). 20-. DOI https://doi.org/10.1186/1471-2296-12-20

Schulgen, G and Lausen, B and Olsen, JH and Schumacher, M (1994) Outcome-Oriented Cutpoints in Analysis of Quantitative Exposures. American Journal of Epidemiology, 140 (2). pp. 172-184. DOI https://doi.org/10.1093/oxfordjournals.aje.a117227

Sentana, Juan (2021) Strategic behavior in risky competitive settings. PhD thesis, University of Essex.

Simpson, Stephen D and Piercy, Julius JB and King, Jeremy and Codling, Edward A (2013) Modelling larval dispersal and behaviour of coral reef fishes. Ecological Complexity, 16. pp. 68-76. DOI https://doi.org/10.1016/j.ecocom.2013.08.001

Snaith, S (2012) The PPP debate: Multiple breaks and cross-sectional dependence. Economics Letters, 115 (3). pp. 342-344. DOI https://doi.org/10.1016/j.econlet.2011.12.076

Stark, Tobias H and Silber, Henning and Krosnick, Jon A and Blom, Annelies G and Aoyagi, Midori and Belchior, Ana and Bosnjak, Michael and Clement, Sanne Lund and John, Melvin and Jonsdottir, Gudbjorg Andrea and Lawson, Karen and Lynn, Peter J and Martinsson, Johan and Shamshiri-Petersen, Ditte and Tvinnereim, Endre and Yu, Ruoh-rong (2020) Generalization of Classic Question Order Effects Across Cultures. Sociological Methods and Research, 49 (3). pp. 567-602. DOI https://doi.org/10.1177/0049124117747304

Steele, Fiona and Clarke, Paul and Leckie, George and Allan, Julia and Johnston, Derek (2017) Multilevel structural equation models for longitudinal data where predictors are measured more frequently than outcomes: an application to the effects of stress on the cognitive function of nurses. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180 (1). pp. 263-283. DOI https://doi.org/10.1111/rssa.12191

Steele, Fiona and Clarke, Paul and Washbrook, Elizabeth (2013) Modeling Household Decisions Using Longitudinal Data from Household Panel Surveys, with Applications to Residential Mobility. Sociological Methodology, 43 (1). pp. 220-271. DOI https://doi.org/10.1177/0081175013479352

Steele, Fiona and Clarke, Paul S and Kuha, Jouni (2019) Modeling within-household associations in household panel studies. The Annals of Applied Statistics, 13 (1). pp. 367-392. DOI https://doi.org/10.1214/18-AOAS1189

Sturgis, Patrick and Allum, Nick and Brunton-Smith, Ian (2009) Attitudes over time: The psychology of panel conditioning. In: Methodology of Longitudinal Surveys. Wiley Hoboken, NJ, pp. 113-126. ISBN 9780470018712.

Sutherland, HE (2018) Quality assessment of microsimulation models: the case of EUROMOD. International Journal of Microsimulation, 11 (1). pp. 198-223.

Szmaragd, C and Clarke, P and Steele, F (2013) Subject specific and population average models for binary longitudinal data: a tutorial. Longitudinal and Life Course Studies, 4 (2). DOI https://doi.org/10.14301/llcs.v4i2.249


Tahsin, Mariha (2022) Micro and Macro Indexes of Economic Activity: Multiple Indicators and Multiple Methods Using Bangladesh as a Test Case. PhD thesis, University of Essex.

Toepoel, V and Lugtig, PJ (2014) What Happens if You Offer a Mobile Option to Your Web Panel? Evidence From a Probability-Based Panel of Internet Users. Social Science Computer Review, 32 (4). pp. 544-560. DOI https://doi.org/10.1177/0894439313510482

Tsai, Chi-lin (2017) Solutions to Turnout Over-Reporting: What Is Out There, What Works, and Can We Do Better? PhD thesis, University of Essex.

Tzougas, G and Vrontos, S and Frangos, N (2018) Bonus-Malus Systems with Two Component Mixture Models Arising from Different Parametric Families. North American Actuarial Journal, 22 (1). pp. 55-91. DOI https://doi.org/10.1080/10920277.2017.1368398


Upton, Graham JG and Harrison, Andrew P (2010) The Detection of Blur in Affymetrix GeneChips. Statistical Applications in Genetics and Molecular Biology, 9 (1). Article37-. DOI https://doi.org/10.2202/1544-6115.1590


Valenza, G and Greco, A and Citi, L and Bianchi, M and Barbieri, R and Scilingo, EP (2016) Inhomogeneous Point-Processes to Instantaneously Assess Affective Haptic Perception through Heartbeat Dynamics Information. Scientific Reports, 6 (1). creators-Citi=3ALuca=3A=3A. DOI https://doi.org/10.1038/srep28567

Vannieuwenhuyze, Jorre TA and Loosveldt, Geert and Molenberghs, Geert (2014) Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models. Journal of Official Statistics, 30 (1). pp. 1-21. DOI https://doi.org/10.2478/jos-2014-0001

Vimaleswaran, Karani S and Cavadino, Alana and Berry, Diane J and Jorde, Rolf and Dieffenbach, Aida Karina and Lu, Chen and Alves, Alexessander Couto and Heerspink, Hiddo J Lambers and Tikkanen, Emmi and Eriksson, Joel and Wong, Andrew and Mangino, Massimo and Jablonski, Kathleen A and Nolte, Ilja M and Houston, Denise K and Ahluwalia, Tarunveer Singh and van der Most, Peter J and Pasko, Dorota and Zgaga, Lina and Thiering, Elisabeth and Vitart, Veronique and Fraser, Ross M and Huffman, Jennifer E and de Boer, Rudolf A and Schöttker, Ben and Saum, Kai-Uwe and McCarthy, Mark I and Dupuis, JosĂ©e and Herzig, Karl-Heinz and Sebert, Sylvain and Pouta, Anneli and Laitinen, Jaana and Kleber, Marcus E and Navis, Gerjan and Lorentzon, Mattias and Jameson, Karen and Arden, Nigel and Cooper, Jackie A and Acharya, Jayshree and Hardy, Rebecca and Raitakari, Olli and Ripatti, Samuli and Billings, Liana K and Lahti, Jari and Osmond, Clive and Penninx, Brenda W and Rejnmark, Lars and Lohman, Kurt K and Paternoster, Lavinia and Stolk, Ronald P and Hernandez, Dena G and Byberg, Liisa and Hagström, Emil and Melhus, HĂ„kan and Ingelsson, Erik and Mellström, Dan and Ljunggren, Östen and Tzoulaki, Ioanna and McLachlan, Stela and Theodoratou, Evropi and Tiesler, Carla MT and Jula, Antti and Navarro, Pau and Wright, Alan F and Polasek, Ozren and Wilson, James F and Rudan, Igor and Salomaa, Veikko and Heinrich, Joachim and Campbell, Harry and Price, Jacqueline F and Karlsson, Magnus and Lind, Lars and MichaĂ«lsson, Karl and Bandinelli, Stefania and Frayling, Timothy M and Hartman, Catharina A and SĂžrensen, Thorkild IA and Kritchevsky, Stephen B and Langdahl, Bente Lomholt and Eriksson, Johan G and Florez, Jose C and Spector, Tim D and LehtimĂ€ki, Terho and Kuh, Diana and Humphries, Steve E and Cooper, Cyrus and Ohlsson, Claes and MĂ€rz, Winfried and de Borst, Martin H and Kumari, Meena and Kivimaki, Mika and Wang, Thomas J and Power, Chris and Brenner, Hermann and Grimnes, Guri and van der Harst, Pim and Snieder, Harold and Hingorani, Aroon D and Pilz, Stefan and Whittaker, John C and JĂ€rvelin, Marjo-Riitta and Hyppönen, Elina (2014) Association of vitamin D status with arterial blood pressure and hypertension risk: a mendelian randomisation study. The Lancet Diabetes &amp; Endocrinology, 2 (9). pp. 719-729. DOI https://doi.org/10.1016/s2213-8587(14)70113-5


Wang, Tianxi (2013) A model of leverage based on risk sharing. Economics Letters, 119 (1). pp. 97-100. DOI https://doi.org/10.1016/j.econlet.2013.02.001

Ward, H (1998) The Glass Bead Game: Testing Game-Theoretic Models of Politics. In: Research Strategies in the Social Sciences: A Guide to New Approaches. Oxford University Press. ISBN 978-0-19-829238-8.

Washbrook, Elizabeth and Clarke, Paul S and Steele, Fiona (2014) Investigating Non-Ignorable Dropout in Panel Studies of Residential Mobility. Journal of the Royal Statistical Society Series C: Applied Statistics, 63 (2). pp. 239-266. DOI https://doi.org/10.1111/rssc.12028

Wenz, Alexander and Jackle, Annette and Couper, Mick P (2019) Willingness to use mobile technologies for data collection in a probability household panel. Survey Research Methods, 13 (1). pp. 1-22. DOI https://doi.org/10.18148/srm/2019.v1i1.7298

White, J and Zaninotto, P and Walters, K and KivimÀki, M and Demakakos, P and Shankar, A and Kumari, M and Gallacher, J and Batty, GD (2015) Severity of depressive symptoms as a predictor of mortality: the English longitudinal study of ageing. Psychological Medicine, 45 (13). pp. 2771-2779. DOI https://doi.org/10.1017/s0033291715000732

White, Jon and Sofat, Reecha and Hemani, Gibran and Shah, Tina and Engmann, Jorgen and Dale, Caroline and Shah, Sonia and Kruger, Felix A and Giambartolomei, Claudia and Swerdlow, Daniel I and Palmer, Tom and McLachlan, Stela and Langenberg, Claudia and Zabaneh, Delilah and Lovering, Ruth and Cavadino, Alana and Jefferis, Barbara and Finan, Chris and Wong, Andrew and Amuzu, Antoinette and Ong, Ken and Gaunt, Tom R and Warren, Helen and Davies, Teri-Louise and Drenos, Fotios and Cooper, Jackie and Ebrahim, Shah and Lawlor, Debbie A and Talmud, Philippa J and Humphries, Steve E and Power, Christine and Hypponen, Elina and Richards, Marcus and Hardy, Rebecca and Kuh, Diana and Wareham, Nicholas and Ben-Shlomo, Yoav and Day, Ian N and Whincup, Peter and Morris, Richard and Strachan, Mark WJ and Price, Jacqueline and Kumari, Meena and Kivimaki, Mika and Plagnol, Vincent and Whittaker, John C and Smith, George Davey and Dudbridge, Frank and Casas, Juan P and Holmes, Michael V and Hingorani, Aroon D (2016) Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis. The Lancet Diabetes &amp; Endocrinology, 4 (4). pp. 327-336. DOI https://doi.org/10.1016/s2213-8587(15)00386-1


Zheng, Jie and Rodriguez, Santiago and Laurin, Charles and Baird, Denis and Trela-Larsen, Lea and Erzurumluoglu, Mesut A and Zheng, Yi and White, Jon and Giambartolomei, Claudia and Zabaneh, Delilah and Morris, Richard and Kumari, Meena and Casas, Juan P and Hingorani, Aroon D and Evans, David M and Gaunt, Tom R and Day, Ian NM (2017) HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics. Bioinformatics, 33 (1). pp. 79-86. DOI https://doi.org/10.1093/bioinformatics/btw565

Zuliana, Sri Utami and Perperoglou, Aris (2016) The Weight of Penalty Optimization for Ridge Regression. In: UNSPECIFIED, ? - ?.

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