Approximate and pseudo-likelihood analysis for logistic regression using external validation data to model log exposure
type: Item
instance of: scholarly article
title: Approximate and pseudo-likelihood analysis for logistic regression using external validation data to model log exposure
zbMATH Open document ID: 1302.62271
author: Robert H. Lyles
author: Lawrence L. Kupper
publication date: 2015-01-07T00:00:00Z
full work available at URL: pmc3766852
Mathematics Subject Classification ID: 62P12
zbMATH DE Number: 6384342
zbMATH Keywords: consistency
zbMATH Keywords: likelihood
zbMATH Keywords: multiplicative measurement error
zbMATH Keywords: probit
zbMATH Keywords: validation
describes a project that uses: SAS/IML
describes a project that uses: SAS
describes a project that uses: goodwin.f77
describes a project that uses: BLINPLUS
describes a project that uses: Multsurr
describes a project that uses: relibpls8
MaRDI profile type: Publication
OpenAlex ID: W2016944208
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Wikidata QID: Q30666395
DOI: 10.1007/S13253-012-0115-9
DOI: 10.17615/HVA3-DY79
published in: Journal of Agricultural, Biological and Environmental Statistics
description: scientific article; zbMATH DE number 6384342