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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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Taylor & Francis
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30218/1/Semiparametric%20estimation%20with%20profile%20algorithm%20for%20longitudinal%20binary%20data.pdf |
| _version_ | 1825947663553527808 |
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| author | Suliadi, Suliadi Ibrahim, Noor Akma Daud, Isa |
| author_facet | Suliadi, Suliadi Ibrahim, Noor Akma Daud, Isa |
| author_sort | Suliadi, Suliadi |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T08:16:50Z |
| format | Article |
| id | upm.eprints-30218 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T08:16:50Z |
| publishDate | 2013 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-302182016-02-05T07:32:03Z 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 |
| spellingShingle | Suliadi, Suliadi Ibrahim, Noor Akma Daud, Isa Semiparametric estimation with profile algorithm for longitudinal binary data |
| title | 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_short | Semiparametric estimation with profile algorithm for longitudinal binary data |
| title_sort | semiparametric estimation with profile algorithm for longitudinal binary data |
| url | http://psasir.upm.edu.my/id/eprint/30218/1/Semiparametric%20estimation%20with%20profile%20algorithm%20for%20longitudinal%20binary%20data.pdf |
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