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.
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页码：17 / 24
页数：8
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