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Bias correction in maximum likelihood logistic regression

 

作者: Robert L. Schaefer,  

 

期刊: Statistics in Medicine  （WILEY Available online 1983）
卷期: Volume 2, issue 1  

页码: 71-78

 

ISSN:0277-6715

 

年代: 1983

 

DOI:10.1002/sim.4780020108

 

出版商: Wiley Subscription Services, Inc., A Wiley Company

 

关键词: Bias;Maximum;Likelihood;Logistic;Regression;Simulation

 

数据来源: WILEY

 

摘要:

AbstractThis paper provides an expression for bias of the maximum likelihood logistic regression estimates for use with small sample sizes. This bias correction is based on an expansion of the maximum likelihood equation. Simulation results show these corrections to be highly effective in small samples.

 

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