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Using logistic regression in perinatal epidemiology: an introduction for clinical researchers. Part 2: The logistic regression equation.

作者信息

Brand R

机构信息

Department of Medical Statistics, Medical Faculty, State University, Leiden, The Netherlands.

出版信息

Paediatr Perinat Epidemiol. 1990 Apr;4(2):221-35. doi: 10.1111/j.1365-3016.1990.tb00640.x.

Abstract

In Part 1 basic concepts were introduced as a preparation for an introductory explanation of logistic regression. Logistic regression is a statistical modelling technique, designed for the estimation of the simultaneous effects of predictors on the risk of a certain dichotomous outcome variable where each effect is estimated while adjusting for the effect of the other factors considered. The basic concepts--odds, odds ratio, confounding and interaction--were introduced in such a way that they naturally lead to the concept of logistic regression. In Part 2 the concepts are 'translated' into simple equations. By studying these equations the equivalence between such mathematical expressions and the underlying clinical assessment of risk will become clear.

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