Moving beyond the conventional stratified analysis to estimate an overall treatment efficacy with the data from a comparative randomized clinical study
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Publication:6625704
DOI10.1002/sim.8015zbMATH Open1545.62603MaRDI QIDQ6625704
Takuichi Hasegawa, Harumi Uno, Unnamed Author, Marc A. Pfeffer, LJ. Wei, Ling Tian
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
ancillary statisticconditional inferenceaugmentation estimation procedureCMH statisticmixture population
Cites Work
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- Ancillaries and conditional inference (with comments and rejoinder)
- Lasso adjustments of treatment effect estimates in randomized experiments
- On the covariate-adjusted estimation for an overall treatment difference with data from a randomized comparative clinical trial
- Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates
- Sufficiency and conditionality
- Poststratification and Conditional Variance Estimation
- Adjusting Treatment Effect Estimates by Post-Stratification in Randomized Experiments
- Targeted maximum likelihood estimation of the parameter of a marginal structural model
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