A SAS Package for Logistic Two-Phase Studies

Two-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the standard case-control design and have been proven u...

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Main Authors:	Walter Schill, Dirk Enders, Karsten Drescher
Format:	Article
Language:	English
Published:	Foundation for Open Access Statistics 2014-04-01
Series:	Journal of Statistical Software
Online Access:	http://www.jstatsoft.org/index.php/jss/article/view/2136

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spelling	doaj-95823b86c3094ad89310a0b45de802b52020-11-24T23:47:14ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602014-04-0157111310.18637/jss.v057.i09740A SAS Package for Logistic Two-Phase StudiesWalter SchillDirk EndersKarsten DrescherTwo-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the standard case-control design and have been proven useful in practice. The application of two-phase designs, however, seems to be hampered by the lack of appropriate, easy-to-use software. This paper introduces sas-twophase-package, a collection of SAS-macros, to fulfill this task. sas-twophase-package implements weighted likelihood, pseudo likelihood and semi- parametric maximum likelihood estimation via the EM algorithm and via profile likelihood in two-phase settings with dichotomous outcome and a given stratification.http://www.jstatsoft.org/index.php/jss/article/view/2136
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Walter Schill Dirk Enders Karsten Drescher
spellingShingle	Walter Schill Dirk Enders Karsten Drescher A SAS Package for Logistic Two-Phase Studies Journal of Statistical Software
author_facet	Walter Schill Dirk Enders Karsten Drescher
author_sort	Walter Schill
title	A SAS Package for Logistic Two-Phase Studies
title_short	A SAS Package for Logistic Two-Phase Studies
title_full	A SAS Package for Logistic Two-Phase Studies
title_fullStr	A SAS Package for Logistic Two-Phase Studies
title_full_unstemmed	A SAS Package for Logistic Two-Phase Studies
title_sort	sas package for logistic two-phase studies
publisher	Foundation for Open Access Statistics
series	Journal of Statistical Software
issn	1548-7660
publishDate	2014-04-01
description	Two-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the standard case-control design and have been proven useful in practice. The application of two-phase designs, however, seems to be hampered by the lack of appropriate, easy-to-use software. This paper introduces sas-twophase-package, a collection of SAS-macros, to fulfill this task. sas-twophase-package implements weighted likelihood, pseudo likelihood and semi- parametric maximum likelihood estimation via the EM algorithm and via profile likelihood in two-phase settings with dichotomous outcome and a given stratification.
url	http://www.jstatsoft.org/index.php/jss/article/view/2136
work_keys_str_mv	AT walterschill asaspackageforlogistictwophasestudies AT dirkenders asaspackageforlogistictwophasestudies AT karstendrescher asaspackageforlogistictwophasestudies AT walterschill saspackageforlogistictwophasestudies AT dirkenders saspackageforlogistictwophasestudies AT karstendrescher saspackageforlogistictwophasestudies
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A SAS Package for Logistic Two-Phase Studies

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