Subgroup analyses in randomized trials: risks of subgroup-specific analyses; power and sample size for the interaction test.
By S. Brookes, Elise Whitely, Matthias Egger, George Davey Smith, P. Mulheran, T. Peters. Journal of Clinical Epidemiology, 2004
774 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/988547d772f70783e7a295845ce273685f33a4cb
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Citations in the corpus
- Sample size planning for statistical power and accuracy in parameter estimation. (2008, methodology): “…size adjustments based on interim analyses (e.g., Jennison & Turnbull 2006, Mehta & Patel 2006), complications in planning subgroup analyses (e.g., Brookes et al. 2004, Lagakos 2006), the impact of noncompliance on power in randomized studies (e.g., Jo 2002), and Bayesian approaches to sample…”
- An introduction to multiplicity issues in clinical trials: the what, why, when and how. (2016, background): “42,45,46 What if we conduct multiple sensitivity analyses for the same outcomes?”
- Extended Transthoracic Resection Compared With Limited Transhiatal Resection for Adenocarcinoma of the Mid/Distal Esophagus: Five-Year Survival of a Randomized Clinical Trial (2007, methodology): “The P value associated with the test whether the coefficient of the interaction term is zero was used as the formal test of interaction.(13) All reported P-values are twosided.”
- Subgroup Identification and Variable Selection from Randomized Clinical Trial Data. (2013, background): “A well-known risk in subgroup analysis is that of false positives [Yusuf et al., 1991, Peto et al., 1995, Assmann et al., 2000, Brookes et al., 2001, Cui et al., 2002, Pocock et al., 2002, Brookes et al., 2004, Rothwell, 2005, Lagakos, 2006, Wang et al., 2007].”
- Impacts of adverse childhood experiences on health, mental health, and substance use in early adulthood: a cohort study of an urban, minority sample in the U.S. (2013, background): “Most of these studies have demonstrated descriptive differences based on stratified analyses, which have well-known methodological limitations (Brookes et al., 2004); few studies have tested ACE-by-sex interactions to detect statistically significant differences.”
- From concepts, theory, and evidence of heterogeneity of treatment effects to methodological approaches: a primer (2012, background): “Clear guidance has been developed regarding the appropriate approaches to subgroup analyses; these overviews provide a clear framework for how subgroup analyses should be undertaken [10,11].”