The International Journal of Biostatistics
Ed. by Chambaz, Antoine / Hubbard, Alan E. / van der Laan, Mark J.
2 Issues per year
IMPACT FACTOR 2013: 0.948
SCImago Journal Rank (SJR): 1.039
Source Normalized Impact per Paper (SNIP): 0.746
Mathematical Citation Quotient 2013: 0.04
Volume 7 (2011)
Volume 5 (2009)
Volume 4 (2008)
Volume 3 (2007)
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Most Downloaded Articles
- An Introduction to Causal Inference by Pearl, Judea
- Sample Size Estimation for Repeated Measures Analysis in Randomized Clinical Trials with Missing Data by Lu, Kaifeng/ Luo, Xiaohui and Chen, Pei-Yun
- Survival Models in Health Economic Evaluations: Balancing Fit and Parsimony to Improve Prediction by Jackson, Christopher H/ Sharples, Linda D and Thompson, Simon G
- Accuracy of Conventional and Marginal Structural Cox Model Estimators: A Simulation Study by Xiao, Yongling/ Abrahamowicz, Michal and Moodie, Erica E. M.
- 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.