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

Publication ,  Journal Article
Zhang, M; Tsiatis, AA; Davidian, M
Published in: Biometrics
September 2008

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.

Duke Scholars

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Published In

Biometrics

DOI

EISSN

1541-0420

Publication Date

September 2008

Volume

64

Issue

3

Start / End Page

707 / 715

Location

England

Related Subject Headings

  • Treatment Outcome
  • Statistics & Probability
  • Randomized Controlled Trials as Topic
  • Platelet Glycoprotein GPIIb-IIIa Complex
  • Odds Ratio
  • Monte Carlo Method
  • Models, Statistical
  • Logistic Models
  • Linear Models
  • Humans
 

Citation

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Zhang, M., Tsiatis, A. A., & Davidian, M. (2008). Improving efficiency of inferences in randomized clinical trials using auxiliary covariates. Biometrics, 64(3), 707–715. https://doi.org/10.1111/j.1541-0420.2007.00976.x
Zhang, Min, Anastasios A. Tsiatis, and Marie Davidian. “Improving efficiency of inferences in randomized clinical trials using auxiliary covariates.Biometrics 64, no. 3 (September 2008): 707–15. https://doi.org/10.1111/j.1541-0420.2007.00976.x.
Zhang M, Tsiatis AA, Davidian M. Improving efficiency of inferences in randomized clinical trials using auxiliary covariates. Biometrics. 2008 Sep;64(3):707–15.
Zhang, Min, et al. “Improving efficiency of inferences in randomized clinical trials using auxiliary covariates.Biometrics, vol. 64, no. 3, Sept. 2008, pp. 707–15. Pubmed, doi:10.1111/j.1541-0420.2007.00976.x.
Zhang M, Tsiatis AA, Davidian M. Improving efficiency of inferences in randomized clinical trials using auxiliary covariates. Biometrics. 2008 Sep;64(3):707–715.
Journal cover image

Published In

Biometrics

DOI

EISSN

1541-0420

Publication Date

September 2008

Volume

64

Issue

3

Start / End Page

707 / 715

Location

England

Related Subject Headings

  • Treatment Outcome
  • Statistics & Probability
  • Randomized Controlled Trials as Topic
  • Platelet Glycoprotein GPIIb-IIIa Complex
  • Odds Ratio
  • Monte Carlo Method
  • Models, Statistical
  • Logistic Models
  • Linear Models
  • Humans