Citation
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
Abstract
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.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science Institute for Mathematical Research |
| DOI Number: | https://doi.org/10.1080/03610918.2011.633724 |
| Publisher: | Taylor & Francis |
| Keywords: | Bias; Consistency; Efficiency; Generalized estimating equation; Longitudinal binary data; Profile algorithm; Smoothing spline. |
| Depositing User: | Umikalthom Abdullah |
| Date Deposited: | 27 Aug 2014 01:17 |
| Last Modified: | 05 Feb 2016 07:32 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/03610918.2011.633724 |
| URI: | http://psasir.upm.edu.my/id/eprint/30218 |
| Statistic Details: | View Download Statistic |
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