Bias reduction in conditional logistic regression

Stat Med. 2011 Feb 20;30(4):348-55. doi: 10.1002/sim.4105. Epub 2010 Nov 5.

Abstract

We employ a general bias preventive approach developed by Firth (Biometrika 1993; 80:27-38) to reduce the bias of an estimator of the log-odds ratio parameter in a matched case-control study by solving a modified score equation. We also propose a method to calculate the standard error of the resultant estimator. A closed-form expression for the estimator of the log-odds ratio parameter is derived in the case of a dichotomous exposure variable. Finite sample properties of the estimator are investigated via a simulation study. Finally, we apply the method to analyze a matched case-control data from a low birthweight study.

MeSH terms

  • Bias*
  • Case-Control Studies*
  • Computer Simulation / statistics & numerical data
  • Effect Modifier, Epidemiologic*
  • Humans
  • Infant, Low Birth Weight
  • Infant, Newborn
  • Logistic Models*