Computing measures of explained variation for logistic regression models

被引：0

作者：

Mittlböck, M ^{[1
]}

Schemper, M ^{[1
]}

机构：

[1] Univ Vienna, Dept Med Comp Sci, Sect Clin Biometr, A-1090 Vienna, Austria

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 1999年 / 58卷 / 01期

关键词：

logistic regression; explained variation; sums-of-squares; entropy; adjusted R-2; SAS-macro;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The proportion of explained variation (R-2) is frequently used in the general linear model but in logistic regression no standard definition of R-2 exists. We present a SAS macro which calculates two R-2-measures based on Pearson and on deviance residuals for logistic regression. Also, adjusted versions for both measures are given, which should prevent the inflation of R-2 in small samples. (C) 1999 Elsevier Science Ireland Ltd. All rights reserved.

引用

页码：17 / 24

页数：8

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