American Statistical Association
New York City
Metropolitan Area Chapter

Memorial Sloan-Kettering Cancer Center
Biostatistics Seminar


Yuelin Li, Ph.D.
Assistant Attending Behavioral Scientist
Memorial Sloan-Kettering Cancer Center

HOW-TO GUIDE IN GROWTH MIXTURE MODELING USING MPLUS

Dr. Li will use the paper, "A latent class mixed model for analyzing biomarker trajectories with irregularly scheduled observations," by H. Lin et al, (Statistics in Medicine, 2000, 19: 1303-1318), as a guide to describe the GMM theory, and use data collected at MSKCC to walk you through the Mplus syntax. The paper uses GMM to classify longitudinal PSA trajectories into latent classes and link the latent class membership with incidences of prostate cancer. GMM seems useful in biomarker analysis. I will describe the Mplus syntax on how to do it.


Date: Wednesday, February 25, 2009
Time: 4:00 P.M. - 5:00 P.M.
Location: Memorial Sloan-Kettering Cancer Center
Department of Epidemiology and Biostatistics
307 East 63rd Street
(between First and Second Avenues)
3rd Floor Conference Room
New York, New York
Note: To gain access to the building, please follow the directions by the telephone in the foyer.

RESERVATIONS ARE NOT REQUIRED


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