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A Latent-Class Mixture Model for Incomplete Longitudinal Gaussian Data

✍ Scribed by Caroline Beunckens; Geert Molenberghs; Geert Verbeke; Craig Mallinckrodt

Book ID: 109223754
Publisher: John Wiley and Sons
Year: 2007
Tongue: English
Weight: 208 KB
Volume: 64
Category: Article
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2007.00837.x

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## Abstract A bootstrap procedure useful in latent class, or more general mixture models has been developed to determine the sufficient number of latent classes or components required to account for systematic group differences in the data. The procedure is illustrated in the context of a multidime