A Latent-Class Mixture Model for Incomplete Longitudinal Gaussian Data-Reference-Cited by-同舟云学术

A Latent-Class Mixture Model for Incomplete Longitudinal Gaussian Data

Published:2007-06-30 Issue:1 Volume:64 Page:96-105
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:

Author:

Beunckens Caroline,Molenberghs Geert,Verbeke Geert,Mallinckrodt Craig

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1541-0420.2007.00837.x/fullpdf

Reference19 articles.

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2. Maximum likelihood from incomplete data via the EM algorithm (with discussion);Dempster;Journal of the Royal Statistical Society, Series B,1977

3. Informative dropout in longitudinal data analysis (with discussion);Diggle;Applied Statistics,1994

4. Analyzing incomplete binary longitudinal clinical trial data;Jansen;Statistical Science,2006

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