The Number of Events per Confounder for Valid Estimation of Risk Difference Using Modified Least-Squares Regression-Reference-Cited by-同舟云学术

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The Number of Events per Confounder for Valid Estimation of Risk Difference Using Modified Least-Squares Regression

Published:2018-07-27 Issue:11 Volume:187 Page:2481-2490
ISSN:0002-9262
Container-title:American Journal of Epidemiology
language:en
Short-container-title:

Author:

Hagiwara Yasuhiro¹,Fukuda Musashi²³,Matsuyama Yutaka⁴

Affiliation:

1. Department of Biostatistics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan

2. Biostatistics Group, Japan-Asia Data Science, Development, Astellas Pharma Inc., Tokyo, Japan

3. Faculty of Medicine, the University of Tokyo, Tokyo, Japan

4. Department of Biostatistics, School of Public Health, the University of Tokyo, Tokyo, Japan

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Link

http://academic.oup.com/aje/article-pdf/187/11/2481/26284603/kwy158.pdf

Reference43 articles.

1. Control of confounding in the assessment of medical technology;Greenland;Int J Epidemiol,1980

2. Model-based estimation of relative risks and other epidemiologic measures in studies of common outcomes and in case-control studies;Greenland;Am J Epidemiol,2004

3. Bias correction in maximum likelihood logistic regression;Schaefer;Stat Med,1983

4. A simulation study of the number of events per variable in logistic regression analysis;Peduzzi;J Clin Epidemiol,1996

5. Relaxing the rule of ten events per variable in logistic and Cox regression;Vittinghoff;Am J Epidemiol,2007

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