A functional multiple imputation approach to incomplete longitudinal data.
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ABSTRACT:
SUBMITTER: He Y
PROVIDER: S-EPMC4453987 | biostudies-literature | 2011 May
REPOSITORIES: biostudies-literature
Publications
A functional multiple imputation approach to incomplete longitudinal data.
He Yulei Y Yucel Recai R Raghunathan Trivellore E TE
Statistics in medicine 20110222 10
In designed longitudinal studies, information from the same set of subjects are collected repeatedly over time. The longitudinal measurements are often subject to missing data which impose an analytic challenge. We propose a functional multiple imputation approach modeling longitudinal response profiles as smooth curves of time under a functional mixed effects model. We develop a Gibbs sampling algorithm to draw model parameters and imputations for missing values, using a blocking technique for ...[more]
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