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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.

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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.

Item Type:Conference or Workshop Item (Paper)
Keyword:Longitudinal data; Nonparametric regression; Correlation; Generalized estimating equations; Smoothing spline
Subject:Longitudinal method
Subject:Regression analysis
Subject:Correlation (Statistics)
Faculty or Institute:Institute for Mathematical Research
ID Code:11363
Deposited By: Samsida Samsudin
Deposited On:31 Mar 2011 12:09
Last Modified:09 Jan 2015 09:34

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