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Bayesian Analysis of Nonlinear Structural Equation Models with Nonignorable Missing Data

โœ Scribed by Sik-Yum Lee


Publisher
Springer
Year
2006
Tongue
English
Weight
329 KB
Volume
71
Category
Article
ISSN
0033-3123

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In longitudinal studies each subject is observed at several di!erent times. Longitudinal studies are rarely balanced and complete due to occurrence of missing data. Little proposed pattern-mixture models for the analysis of incomplete multivariate normal data. Later, Little proposed an approach to m