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Growth Mixture Modeling: Identifying and Predicting Unobserved Subpopulations With Longitudinal Data

✍ Scribed by Wang, Mo (author);Bodner, Todd E. (author)


Book ID
125543179
Publisher
SAGE Publications
Year
2007
Tongue
English
Weight
233 KB
Volume
10
Category
Article
ISSN
1094-4281

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## Abstract Shared random effects joint models are becoming increasingly popular for investigating the relationship between longitudinal and time‐to‐event data. Although appealing, such complex models are computationally intensive, and quick, approximate methods may provide a reasonable alternative