Literature DB >> 2362878

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

R Brand1.   

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.

Mesh:

Year:  1990        PMID: 2362878     DOI: 10.1111/j.1365-3016.1990.tb00640.x

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.980


  2 in total

1.  Measures of performance in Scottish maternity hospitals.

Authors:  A H Leyland; C W Pritchard; P McLoone; F A Boddy
Journal:  BMJ       Date:  1991-08-17

2.  Women's knowledge of emergency contraception.

Authors:  J George; J Turner; E Cooke; E Hennessy; W Savage; P Julian; R Cochrane
Journal:  Br J Gen Pract       Date:  1994-10       Impact factor: 5.386

  2 in total

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