Assessing heterogeneity of treatment effect in a clinical trial with the proportional interactions model-Reference-Cited by-同舟云学术

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Assessing heterogeneity of treatment effect in a clinical trial with the proportional interactions model

Published:2013-06-21 Issue:28 Volume:32 Page:4906-4923
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Kovalchik Stephanie A.¹,Varadhan Ravi²³,Weiss Carlos O.⁴

Affiliation:

1. Division of Cancer Epidemiology and Genetics; National Cancer Institute; Rockville MD U.S.A.

2. Center on Aging and Health; Johns Hopkins University; Baltimore MD U.S.A.

3. Department of Biostatistics; Johns Hopkins University; Baltimore MD U.S.A.

4. Division of Geriatric Medicine and Gerontology; Johns Hopkins University; Baltimore MD U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5881/fullpdf

Reference17 articles.

1. Can overall results of clinical trials be applied to all patients?;Rothwell;Lancet,1995

2. Biostatistical considerations in development of biomarker-based tests to guide treatment decisions;Clark;Statistics in Biopharmaceutical Research,2011

3. Generalizing the results of randomized clinical trials;Bailey;Controlled Clinical Trials,1994

4. Multivariable risk prediction can greatly enhance the statistical power of clinical trial subgroup analysis;Hayward;BMC Medical Research Methodology,2006

5. Limitations of applying summary results of clinical trials to individual patients - the need for risk stratification;Kent;Journal of the American Medical Association,2007

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