American Statistical Association
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.|
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.