Results of Multivariable Logistic Regression, Propensity Matching, Propensity Adjustment, and Propensity-based Weighting under Conditions of Nonuniform Effect-Reference-Cited by-同舟云学术

Results of Multivariable Logistic Regression, Propensity Matching, Propensity Adjustment, and Propensity-based Weighting under Conditions of Nonuniform Effect

Published:2005-12-21 Issue:3 Volume:163 Page:262-270
ISSN:1476-6256
Container-title:American Journal of Epidemiology
language:en
Short-container-title:

Author:

Kurth Tobias,Walker Alexander M.,Glynn Robert J.,Chan K. Arnold,Gaziano J. Michael,Berger Klaus,Robins James M.

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Link

http://academic.oup.com/aje/article-pdf/163/3/262/129937/kwj047.pdf

Reference37 articles.

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4. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med1996;15:361–87.

5. Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol1996;49:1373–9.

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