Simple Search:

Longitudinal data analysis using nonparametric regression model


Ibrahim, Noor Akma and Suliadi, (2009) Longitudinal data analysis using nonparametric regression model. In: ICCS-X, 20-23 Dec. 2009, Cairo, Egypt. .

Abstract / Synopsis

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.

Download File

[img] Microsoft Word
ID 11363.doc
Restricted to Repository staff only

Download (263kB)

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 12:09
Last Modified: 09 Jan 2015 09:34
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item