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, 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, 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
Abstract
Structural mean models (SMMs) were originally formulated to estimate causal effects among those selecting treatment in randomized controlled trials affected by nonignorable noncompliance. It has already been established that SMMs can identify these causal effects in randomized placebo-controlled trials under fairly weak assumptions. SMMs are now being used to analyze other types of study where identification depends on a no effect modification assumption. We highlight how this assumption depends crucially on the unknown causal model that generated the data, and so is difficult to justify. However, we also highlight that, if treatment selection is monotonic, additive and multiplicative SMMs do identify local (or complier) causal effects, but that the double-logistic SMM estimator does not without further assumptions. We clarify the proper interpretation of inferences from SMMs by means of an application and a simulation study. © 2010 The Author.
Item Type: | Article |
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Uncontrolled Keywords: | Humans; Gastrointestinal Hemorrhage; Anti-Inflammatory Agents, Non-Steroidal; Placebos; Treatment Outcome; Models, Statistical; Logistic Models; Monte Carlo Method; Statistics, Nonparametric; Algorithms; Computer Simulation; Cyclooxygenase 2 Inhibitors; Randomized Controlled Trials as Topic; Biostatistics |
Subjects: | H Social Sciences > HA Statistics |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Institute for Social and Economic Research |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 15 Aug 2013 19:24 |
Last Modified: | 23 Oct 2024 04:59 |
URI: | http://repository.essex.ac.uk/id/eprint/7360 |
Available files
Filename: Biostat-2010-Clarke-756-70.pdf
Licence: Creative Commons: Attribution 3.0