Bias reduction in conditional logistic regression. Academic Article

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.

authors

• Sinha, Samiran

published proceedings

• Stat Med

author list (cited authors)

• Sun, J. X., Sinha, S., Wang, S., & Maiti, T.

citation count

• 14

complete list of authors

• Sun, Jenny X||Sinha, Samiran||Wang, Suojin||Maiti, Tapabrata

publication date

• February 2011

publisher

• Wiley  Publisher

published in

• Statistics in Medicine  Journal

keywords

• Bias
• Case-Control Studies
• Computer Simulation
• Effect Modifier, Epidemiologic
• Humans
• Infant, Low Birth Weight
• Infant, Newborn
• Logistic Models

PubMed Central ID

• 21225897

Digital Object Identifier (DOI)

• 10.1002/sim.4105

start page

• 348

end page

• 355

volume

• 30

issue

• 4

URL

• http://dx.doi.org/10.1002/sim.4105