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Most Downloaded Articles
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- Survival Models in Health Economic Evaluations: Balancing Fit and Parsimony to Improve Prediction by Jackson, Christopher H/ Sharples, Linda D and Thompson, Simon G
- Sample Size Estimation for Repeated Measures Analysis in Randomized Clinical Trials with Missing Data by Lu, Kaifeng/ Luo, Xiaohui and Chen, Pei-Yun
- Model Checking with Residuals for g-estimation of Optimal Dynamic Treatment Regimes by Rich, Benjamin/ Moodie, Erica E. M./ Stephens, David A and Platt, Robert W
Principal Stratification -- a Goal or a Tool?
1University of California, Los Angeles
Citation Information: The International Journal of Biostatistics. Volume 7, Issue 1, Pages 1–13, ISSN (Online) 1557-4679, DOI: 10.2202/1557-4679.1322, March 2011
- Published Online:
Principal stratification has recently become a popular tool to address certain causal inference questions, particularly in dealing with post-randomization factors in randomized trials. Here, we analyze the conceptual basis for this framework and invite response to clarify the value of principal stratification in estimating causal effects of interest.