Cover Image

Longitudinal data analysis using nonparametric regression model

This paper proposes nonparametric regression model to analyze longitudinal data. We combine natural cubic spline with generalized estimating equations (GEE) to handle unknown function of the covariate and accounting for the correlation within subjects. Specific condition in which we assume independ...

Full description

Saved in:
Bibliographic Details
Main Authors: Ibrahim, Noor Akma, Suliadi,
Format: Conference or Workshop Item
Language:English
Published: 2009
Online Access:http://psasir.upm.edu.my/id/eprint/11363/1/ID%2011363.doc
http://psasir.upm.edu.my/id/eprint/11363/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.11363
record_format eprints
spelling my.upm.eprints.113632015-01-09T01:34:04Z http://psasir.upm.edu.my/id/eprint/11363/ Longitudinal data analysis using nonparametric regression model Ibrahim, Noor Akma Suliadi, This paper proposes nonparametric regression model to analyze longitudinal data. We combine natural cubic spline with generalized estimating equations (GEE) to handle unknown function of the covariate and accounting for the correlation within subjects. Specific condition in which we assume independence, AR-1 and exchangeable correlation structures from each subject with varying sample size are used in the simulation study to assess the efficiency of the estimators. A real data application of the proposed model is illustrated with comparison to parametric model and GEE-smoothing spline under independence assumption. 2009 Conference or Workshop Item NonPeerReviewed application/msword en http://psasir.upm.edu.my/id/eprint/11363/1/ID%2011363.doc Ibrahim, Noor Akma and Suliadi, (2009) Longitudinal data analysis using nonparametric regression model. In: ICCS-X, 20-23 Dec. 2009, Cairo, Egypt. .
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description This paper proposes nonparametric regression model to analyze longitudinal data. We combine natural cubic spline with generalized estimating equations (GEE) to handle unknown function of the covariate and accounting for the correlation within subjects. Specific condition in which we assume independence, AR-1 and exchangeable correlation structures from each subject with varying sample size are used in the simulation study to assess the efficiency of the estimators. A real data application of the proposed model is illustrated with comparison to parametric model and GEE-smoothing spline under independence assumption.
format Conference or Workshop Item
author Ibrahim, Noor Akma
Suliadi,
spellingShingle Ibrahim, Noor Akma
Suliadi,
Longitudinal data analysis using nonparametric regression model
author_facet Ibrahim, Noor Akma
Suliadi,
author_sort Ibrahim, Noor Akma
title Longitudinal data analysis using nonparametric regression model
title_short Longitudinal data analysis using nonparametric regression model
title_full Longitudinal data analysis using nonparametric regression model
title_fullStr Longitudinal data analysis using nonparametric regression model
title_full_unstemmed Longitudinal data analysis using nonparametric regression model
title_sort longitudinal data analysis using nonparametric regression model
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/11363/1/ID%2011363.doc
http://psasir.upm.edu.my/id/eprint/11363/
_version_ 1643824806409273344
score 13.188404

Similar Items