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Clarke, Paul S and Polselli, Annalivia (2024) Double Machine Learning for Static Panel Models with Fixed Effects. Econometrics Journal. (In Press)

Machlanski, Damian and Samothrakis, Spyridon and Clarke, Paul (2024) Undersmoothing Causal Estimators With Generative Trees. IEEE Access, 12. pp. 38562-38574. DOI https://doi.org/10.1109/access.2024.3376423

Lynn, Peter and Cabrera Alvarez, Pablo and Clarke, Paul (2023) Sample composition and representativeness on Understanding Society. Fiscal Studies, 44 (4). pp. 341-359. DOI https://doi.org/10.1111/1475-5890.12357

Clarke, Paul and Bao, Yanchun (2022) Estimating mode effects from a sequential mixed-mode experiment using structural moment models. The Annals of Applied Statistics, 16 (3). pp. 1563-1585. DOI https://doi.org/10.1214/21-AOAS1557 (In Press)

Lynch, Thomas R and Hempel, Roelie J and Whalley, Ben and Byford, Sarah and Chamba, Rampaul and Clarke, Paul and Clarke, Susan and Kingdon, David G and O'Mahen, Heather and Remington, Bob and Rushbrook, Sophie C and Shearer, James and Stanton, Maggie and Swales, Michaela and Watkins, Alan and Russell, Ian T (2020) Refractory depression – mechanisms and efficacy of radically open dialectical behaviour therapy (RefraMED): findings of a randomised trial on benefits and harms. The British Journal of Psychiatry, 216 (4). pp. 204-212. DOI https://doi.org/10.1192/bjp.2019.53

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

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

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

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

Lynch, TR and Whalley, B and Hempel, RJ and Byford, S and Clarke, P and Clarke, S and Kingdon, D and O'Mahen, H and Russell, IT and Shearer, J and Stanton, M and Swales, M and Watkins, A and Remington, B (2015) Refractory depression: mechanisms and evaluation of radically open dialectical behaviour therapy (RO-DBT) [REFRAMED]: protocol for randomised trial. BMJ Open, 5 (7). e008857-e008857. DOI https://doi.org/10.1136/bmjopen-2015-008857

Clarke, Paul and Crawford, Claire and Steele, Fiona and Vignoles, Anna (2015) Revisiting fixed- and random-effects models: some considerations for policy-relevant education research. Education Economics, 23 (3). pp. 259-277. DOI https://doi.org/10.1080/09645292.2013.855705

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

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

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

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

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

Griffin, JT and Garske, T and Ghani, AC and Clarke, PS (2011) Joint estimation of the basic reproduction number and generation time parameters for infectious disease outbreaks. Biostatistics, 12 (2). pp. 303-312. DOI https://doi.org/10.1093/biostatistics/kxq058

Chadeau-Hyam, Marc and Clarke, Paul S and Guihenneuc-Jouyaux, Chantal and Cousens, Simon N and Will, Robert G and Ghani, Azra C (2010) An Application of Hidden Markov Models to the French Variant Creutzfeldt–Jakob Disease Epidemic. Journal of the Royal Statistical Society Series C: Applied Statistics, 59 (5). pp. 839-853. DOI https://doi.org/10.1111/j.1467-9876.2010.00714.x

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

Lynn, Peter and Clarke, Paul (2002) Separating refusal bias and non-contact bias: evidence from UK national surveys. Journal of the Royal Statistical Society: Series D (The Statistician), 51 (3). pp. 319-333. DOI https://doi.org/10.1111/1467-9884.00321

Conference or Workshop Item

Machlanski, Damian and Samothrakis, Spyridon and Clarke, Paul (2024) Robustness of Algorithms for Causal Structure Learning to Hyperparameter Choice. In: Third Conference on Causal Learning and Reasoning, 2024-04-01 - 2024-04-03, Carnesale Commons, UC Los Angeles, California, USA.