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Semiparametric estimation with profile algorithm for longitudinal binary data

This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and nonparametric components. The method is an extension of the parametric generalized estimating equation to semiparametric. The nonparametric component is...

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Huvudupphovsmän: Suliadi, Suliadi, Ibrahim, Noor Akma, Daud, Isa
Materialtyp: Artikel
Språk:English
English
Publicerad: Taylor & Francis 2013
Länkar:http://psasir.upm.edu.my/id/eprint/30218/1/Semiparametric%20estimation%20with%20profile%20algorithm%20for%20longitudinal%20binary%20data.pdf
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id oai:psasir.upm.edu.my:30218
record_format eprints
spelling oai:psasir.upm.edu.my:30218 http://psasir.upm.edu.my/id/eprint/30218/ Semiparametric estimation with profile algorithm for longitudinal binary data Suliadi, Suliadi Ibrahim, Noor Akma Daud, Isa This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and nonparametric components. The method is an extension of the parametric generalized estimating equation to semiparametric. The nonparametric component is estimated by smoothing spline approach, i.e., natural cubic spline. We use profile algorithm in the estimation of both parametric and nonparametric components. Properties of the estimators are evaluated by simulation. Taylor & Francis 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30218/1/Semiparametric%20estimation%20with%20profile%20algorithm%20for%20longitudinal%20binary%20data.pdf Suliadi, Suliadi and Ibrahim, Noor Akma and Daud, Isa (2013) Semiparametric estimation with profile algorithm for longitudinal binary data. Communications in Statistics: Simulation and Computation, 42 (1). pp. 138-152. ISSN 0361-0918; ESSN: 1532-4141 10.1080/03610918.2011.633724 English
institution UPM IR
collection UPM IR
language English
English
description This article considers analyzing longitudinal binary data semiparametrically and proposing GEE-Smoothing spline in the estimation of parametric and nonparametric components. The method is an extension of the parametric generalized estimating equation to semiparametric. The nonparametric component is estimated by smoothing spline approach, i.e., natural cubic spline. We use profile algorithm in the estimation of both parametric and nonparametric components. Properties of the estimators are evaluated by simulation.
format Article
author Suliadi, Suliadi
Ibrahim, Noor Akma
Daud, Isa
spellingShingle Suliadi, Suliadi
Ibrahim, Noor Akma
Daud, Isa
Semiparametric estimation with profile algorithm for longitudinal binary data
author_facet Suliadi, Suliadi
Ibrahim, Noor Akma
Daud, Isa
author_sort Suliadi, Suliadi
title Semiparametric estimation with profile algorithm for longitudinal binary data
title_short Semiparametric estimation with profile algorithm for longitudinal binary data
title_full Semiparametric estimation with profile algorithm for longitudinal binary data
title_fullStr Semiparametric estimation with profile algorithm for longitudinal binary data
title_full_unstemmed Semiparametric estimation with profile algorithm for longitudinal binary data
title_sort semiparametric estimation with profile algorithm for longitudinal binary data
publisher Taylor & Francis
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/30218/1/Semiparametric%20estimation%20with%20profile%20algorithm%20for%20longitudinal%20binary%20data.pdf
_version_ 1819295301543919616
score 13.4562235

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