Rejoinder to “A Note on Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models”

DOI10.1111/j.1541-0420.2012.01799.xzbMath1272.62082OpenAlexW2142180524MaRDI QIDQ4919605

Michael G. Rosenblum

Publication date: 14 May 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2012.01799.x

zbMATH Keywords

likelihoodhypothesis testingmodel misspecificationCox proportional hazards modelparametric proportional hazards model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Robust and flexible estimation of stochastic mediation effects: a proposed method and example in a randomized trial setting

Cites Work

• A Broad Symmetry Criterion for Nonparametric Validity of Parametrically Based Tests in Randomized Trials
• Nonparametric Comparison of Two Survival-Time Distributions in the Presence of Dependent Censoring
• Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models

This page was built for publication: Rejoinder to “A Note on Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models”