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Analysis of Incomplete Longitudinal Binary Data-A Combined Markov’s Transition and Logistic Model for Non-ignorable Missingness

The problem of incomplete data is a common phenomenon in research that involves the longitudinal design approach. We investigate and develop a likelihood-based approach for incomplete longitudinal binary data using the disposition model when the missing value mechanism is non-ignorable. We combined...

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Detalhes bibliográficos
Publicado no:Appl Appl Math
Main Authors: Erebholo, Francis, Bezandry, Paul, Apprey, Victor, Kwagyan, John
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5515546/
https://ncbi.nlm.nih.gov/pubmed/28729894
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