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Mixtures of semiparametric varying coefficient models for longitudinal data with nonignorable dropout

✍ Scribed by Zhi-qiang Li; Liu-gen Xue


Publisher
Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
Year
2009
Tongue
English
Weight
209 KB
Volume
26
Category
Article
ISSN
0168-9673

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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