Improving efficiency of inferences in randomized clinical trials using auxiliary covariates.

Biometrics
Min ZhangMarie Davidian

Abstract

The primary goal of a randomized clinical trial is to make comparisons among two or more treatments. For example, in a two-arm trial with continuous response, the focus may be on the difference in treatment means; with more than two treatments, the comparison may be based on pairwise differences. With binary outcomes, pairwise odds ratios or log odds ratios may be used. In general, comparisons may be based on meaningful parameters in a relevant statistical model. Standard analyses for estimation and testing in this context typically are based on the data collected on response and treatment assignment only. In many trials, auxiliary baseline covariate information may also be available, and it is of interest to exploit these data to improve the efficiency of inferences. Taking a semiparametric theory perspective, we propose a broadly applicable approach to adjustment for auxiliary covariates to achieve more efficient estimators and tests for treatment parameters in the analysis of randomized clinical trials. Simulations and applications demonstrate the performance of the methods.

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Citations

Nov 26, 2011·Statistical Methods in Medical Research·Wenbin LuDonglin Zeng
Jul 16, 2010·The International Journal of Biostatistics·Michael Rosenblum, Mark J van der Laan
Mar 19, 2014·Journal of Experimental Criminology·Michael ChapleMichael French
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Feb 18, 2016·Lifetime Data Analysis·Layla Parast, Beth Ann Griffin
Jan 31, 2016·Vaccine·Yunda HuangMaja A Sommerfelt
May 31, 2016·Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring·Jason GeyerMichael W Weiner
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Dec 18, 2014·Statistics in Medicine·Yuan GengWenbin Lu
Nov 11, 2014·Diabetic Medicine : a Journal of the British Diabetic Association·C J BaileyJ F List
Jun 3, 2010·Biometrical Journal. Biometrische Zeitschrift·Jianwei Chen, Chii-Dean Lin
Mar 22, 2016·Biometrics·Yuanyuan Shen, Tianxi Cai
Nov 18, 2015·Biometrics·Iván DíazMichael Rosenblum
Apr 16, 2015·Statistics in Medicine·Elizabeth Colantuoni, Michael Rosenblum

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