Semiparametric binary model for clustered survival data
This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the...
Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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AIP Publishing LLC
2014
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Online Access: | http://psasir.upm.edu.my/id/eprint/57347/1/Semiparametric%20binary%20model%20for%20clustered%20survival%20data.pdf |
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author | Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam |
author_facet | Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam |
author_sort | Arlin, Rifina |
collection | UPM |
description | This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the derivation of the estimating equation for the parametric and nonparametric components of a semiparametric binary covariate model. The properties of the estimates for both are evaluated using simulation studies. We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. The effect of the number of clusters and cluster size are also discussed. Results show that the GEE-SS are consistent and efficient for parametric component and nonparametric component of semiparametric binary covariates. |
first_indexed | 2024-03-06T09:29:06Z |
format | Conference or Workshop Item |
id | upm.eprints-57347 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T09:29:06Z |
publishDate | 2014 |
publisher | AIP Publishing LLC |
record_format | dspace |
spelling | upm.eprints-573472017-09-26T04:10:06Z http://psasir.upm.edu.my/id/eprint/57347/ Semiparametric binary model for clustered survival data Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam This paper considers a method to analyze semiparametric binary models for clustered survival data when the responses are correlated. We extend parametric generalized estimating equation (GEE) to semiparametric GEE by introducing smoothing spline into the model. A backfitting algorithm is used in the derivation of the estimating equation for the parametric and nonparametric components of a semiparametric binary covariate model. The properties of the estimates for both are evaluated using simulation studies. We investigated the effects of the strength of cluster correlation and censoring rates on properties of the parameters estimate. The effect of the number of clusters and cluster size are also discussed. Results show that the GEE-SS are consistent and efficient for parametric component and nonparametric component of semiparametric binary covariates. AIP Publishing LLC 2014 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/57347/1/Semiparametric%20binary%20model%20for%20clustered%20survival%20data.pdf Arlin, Rifina and Ibrahim, Noor Akma and Arasan, Jayanthi and Abu Bakar, Mohd Rizam (2014) Semiparametric binary model for clustered survival data. In: 22nd National Symposium on Mathematical Sciences (SKSM22), 24-26 Nov. 2014, Grand Bluewave Hotel, Selangor. . 10.1063/1.4932507 |
spellingShingle | Arlin, Rifina Ibrahim, Noor Akma Arasan, Jayanthi Abu Bakar, Mohd Rizam Semiparametric binary model for clustered survival data |
title | Semiparametric binary model for clustered survival data |
title_full | Semiparametric binary model for clustered survival data |
title_fullStr | Semiparametric binary model for clustered survival data |
title_full_unstemmed | Semiparametric binary model for clustered survival data |
title_short | Semiparametric binary model for clustered survival data |
title_sort | semiparametric binary model for clustered survival data |
url | http://psasir.upm.edu.my/id/eprint/57347/1/Semiparametric%20binary%20model%20for%20clustered%20survival%20data.pdf |
work_keys_str_mv | AT arlinrifina semiparametricbinarymodelforclusteredsurvivaldata AT ibrahimnoorakma semiparametricbinarymodelforclusteredsurvivaldata AT arasanjayanthi semiparametricbinarymodelforclusteredsurvivaldata AT abubakarmohdrizam semiparametricbinarymodelforclusteredsurvivaldata |