Reducing bias and mean squared error associated with regression-based odds ratio estimators
type: Item
instance of: scholarly article
title: Reducing bias and mean squared error associated with regression-based odds ratio estimators
zbMATH Open document ID: 1348.62219
author: Robert H. Lyles
author: Sander Greenland
author: Ying Guo
published in: Journal of Statistical Planning and Inference
publication date: 2012-09-21T00:00:00Z
full work available at URL: pmc3433076
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62J02
zbMATH DE Number: 6085280
zbMATH Keywords: absolute risk
zbMATH Keywords: bias
zbMATH Keywords: bootstrap
zbMATH Keywords: logistic regression
zbMATH Keywords: maximum likelihood
zbMATH Keywords: odds ratio
zbMATH Keywords: relative risk
Wikidata QID: Q36206376
describes a project that uses: SAS/STAT
describes a project that uses: SAS
describes a project that uses: bootstrap
MaRDI profile type: Publication
OpenAlex ID: W2000452824
cites work: Q3150769
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cites work: Bias reduction of maximum likelihood estimates
cites work: Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators
cites work: Q4521593
cites work: On the Bias of Commonly Used Measures of Association for 2 x 2 Tables
cites work: A Note on Bias Correction in Maximum Likelihood Estimation with Logistic Discrimination
cites work: Q3998435
cites work: Q3805613
DOI: 10.1016/J.JSPI.2012.05.005
description: scientific article; zbMATH DE number 6085280