Ibrahim, Noor Akma and Suliadi, (2009) Longitudinal data analysis using nonparametric regression model. In: ICCS-X, 20-23 December 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|
|Faculty or Institute:||Institute for Mathematical Research|
|Deposited By:||Samsida Samsudin|
|Deposited On:||31 Mar 2011 04:09|
|Last Modified:||08 Nov 2013 07:50|
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