Statistics review 14: Logistic regression

被引：463

作者：

Bewick, V ^{[1
]}

Cheek, L

Ball, J

机构：

[1] Univ Brighton, Sch Comp Math & Informat Sci, Brighton, E Sussex, England

[2] Liverpool Hosp, ICU, Sydney, NSW, Australia

来源：

CRITICAL CARE | 2005年 / 9卷 / 01期

关键词：

binomial distribution; Hosmer-Lemeshow test; likelihood; likelihood ratio test; logit function; maximum likelihood estimation; median effective level; odds; odds ratio; predicted probability; Wald test;

D O I：

10.1186/cc3045

中图分类号：

R4 [临床医学];

学科分类号：

1002 ; 100602 ;

摘要：

This review introduces logistic regression, which is a method for modelling the dependence of a binary response variable on one or more explanatory variables. Continuous and categorical explanatory variables are considered.

引用

页码：112 / 118

页数：7

共 5 条

[1] Statistics review 13: Receiver operating characteristic curves [J].

Bewick, V ;

Cheek, L ;

Ball, J .

CRITICAL CARE, 2004, 8 (06) :508-512

[2] Statistics review 11: Assessing risk [J].

Bewick, V ;

Cheek, L ;

Ball, J .

CRITICAL CARE, 2004, 8 (04) :287-291

[3] Statistics review 7: Correlation and regression [J].

Bewick, V ;

Cheek, L ;

Ball, J .

CRITICAL CARE, 2003, 7 (06) :451-459

[4]

Hosmer W., 2000, Applied Logistic Regression, VSecond

[5]

Kirkwood B R., 2010, Essential medical statistics, V2nd ed.

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