title: Using logistic regression in perinatal epidemiology: an introduction for clinical researchers. Part 2: The logistic regression equation.
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.
authors.affiliation: Department of Medical Statistics, Medical Faculty, State University, Leiden, The Netherlands.
authors.forename: R
authors.initials: R
authors.lastname: Brand
mesh_terms: D005260:Female; D006801:Humans; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male