Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example-Reference-Cited by-同舟云学术

Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example

Published:2010-07 Issue:7 Volume:63 Page:728-736
ISSN:0895-4356
Container-title:Journal of Clinical Epidemiology
language:en
Short-container-title:Journal of Clinical Epidemiology

Author:

Knol Mirjam J.,Janssen Kristel J.M.,Donders A. Rogier T.,Egberts Antoine C.G.,Heerdink E. Rob,Grobbee Diederick E.,Moons Karel G.M.,Geerlings Mirjam I.

Publisher

Elsevier BV

Subject

Epidemiology

Reference29 articles.

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3. Indicator and stratification methods for missing explanatory variables in multiple linear regression;Jones;J Am Stat Assoc,1996

4. Missing data: our view of the state of the art;Schafer;Psychol Methods,2002

5. Biased estimation of the odds ratio in case-control studies due to the use of ad hoc methods of correcting for missing values for confounding variables;Vach;Am J Epidemiol,1991

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