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Using logistic regression in perinatal epidemiology: an introduction for clinical researchers. Part 2: the logistic regression equation
Author(s) -
Brand R.
Publication year - 1990
Publication title -
paediatric and perinatal epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.667
H-Index - 88
eISSN - 1365-3016
pISSN - 0269-5022
DOI - 10.1111/j.1365-3016.1990.tb00640.x
Subject(s) - logistic regression , confounding , statistics , odds ratio , equivalence (formal languages) , odds , medicine , epidemiology , regression analysis , multinomial logistic regression , econometrics , mathematics , discrete mathematics
Summary. 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.