A general binomial regression model to estimate standardized risk differences from binary response data-Reference-Cited by-同舟云学术

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A general binomial regression model to estimate standardized risk differences from binary response data

Published:2012-08-02 Issue:5 Volume:32 Page:808-821
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Kovalchik Stephanie A.¹,Varadhan Ravi²,Fetterman Barbara³,Poitras Nancy E.³,Wacholder Sholom¹,Katki Hormuzd A.¹

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 School of Medicine; Baltimore MD U.S.A.

3. Kaiser Permanente Northern California; Berkeley CA U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5553/fullpdf

Reference32 articles.

1. Limitations of the logistic analysis of epidemiologic data;Greenland;American Journal of Epidemiology,1979

2. A deficiency of the odds ratio as a measure of effect size;Newcombe;Statistics in Medicine,2006

3. Interpretation and choice of effect measures in epidemiologic analyses;Greenland;American Journal of Epidemiology,1987

4. To use or not to use the odds ratio in epidemiologic analyses?;Nurminen;European Journal of Epidemiology,1995

5. Binomial regression in GLIM: estimating risk ratios and risk differences;Wacholder;American Journal of Epidemiology,1986

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