Citation
Ibrahim, Noor Akma and Suliadi,
(2009)
Longitudinal data analysis using nonparametric regression model.
In: ICCS-X, 20-23 Dec. 2009, Cairo, Egypt. .
Abstract
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.
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Additional Metadata
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Subject: |
Longitudinal method |
| Subject: |
Regression analysis |
| Subject: |
Correlation (Statistics) |
| Divisions: |
Institute for Mathematical Research |
| Keywords: |
Longitudinal data; Nonparametric regression; Correlation; Generalized estimating equations; Smoothing spline |
| Depositing User: |
Samsida Samsudin
|
| Date Deposited: |
31 Mar 2011 04:09 |
| Last Modified: |
09 Jan 2015 01:34 |
| URI: |
http://psasir.upm.edu.my/id/eprint/11363 |
| Statistic Details: |
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