Multiple imputation methods for handling missing values in a longitudinal categorical variable with restrictions on transitions over time: a simulation study

Abstract Background Longitudinal categorical variables are sometimes restricted in terms of how individuals transition between categories over time. For example, with a time-dependent measure of smoking categorised as never-smoker, ex-smoker, and current-smoker, current-smokers or ex-smokers cannot...

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Detalhes bibliográficos
Main Authors: Anurika Priyanjali De Silva, Margarita Moreno-Betancur, Alysha Madhu De Livera, Katherine Jane Lee, Julie Anne Simpson
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2019-01-01
Colecção:BMC Medical Research Methodology
Assuntos:
Fully conditional specification
Longitudinal categorical data
Missing data
Multiple imputation
Multivariate normal imputation
Restricted transitions
Acesso em linha:http://link.springer.com/article/10.1186/s12874-018-0653-0
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