EXACT LOGISTIC-REGRESSION - THEORY AND EXAMPLES

被引：363

作者：

MEHTA, CR ^{[1
]}

PATEL, NR ^{[1
]}

机构：

[1] CYTEL SOFTWARE CORP,CAMBRIDGE,MA 02139

来源：

STATISTICS IN MEDICINE | 1995年 / 14卷 / 19期

关键词：

D O I：

10.1002/sim.4780141908

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We provide an alternative to the maximum likelihood method for making inferences about the parameters of the logistic regression model. The method is based appropriate permutational distributions of sufficient statistics. It is useful for analysing small or unbalanced binary data with covariates. It also applies to small-sample clustered binary data. We illustrate the method by analysing several biomedical data sets.

引用

页码：2143 / 2160

页数：18

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