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Estimation of parameters of a polynomial model under intra class correlation structure for incomplete longitudinal data
Authors:Anand K. Seth  Sati Mazumdar
Affiliation:1. Dept. of Community Medicine , University of Pittsburgh , Cleft Palate Center Children's Hospital of Pittsburgh, Pittsburgh, PA, 15261;2. Dept. of Biostatistics , University of Pittsburgh , Pittsburgh, PA, 15261
Abstract:The problem of analyzing and modeling incomplete longitudinal data arising from clinical and epidemiological studies are discussed, A method for handling arbitrarily missing observations under the intra class correlation structure and a polynomial model is developed. Explicit expressions for likelihood equations and information matrix for a second degree polynomial model are provided. The method is illustrated through an example.
Keywords:Incomplete longitudinal data  polynomial model  intra class correlation  maximum likelihood estimates
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