Back
Signature Seminar Series: Longitudinal Analyses, Growth Mixture Models (GMM) and Latent Trajectory Classes
ABOUT THE LECTURE:
The traditional growth modeling approach (random-effects/multilevel modeling), commonly used for FDA approval, assumes that a single group of growth parameters fits the population and that the covariates that affect the growth factors affect each individual in a similar way. To address this concern, growth mixture modeling (GMM) is used. GMM allows subgroups of individuals to vary around different mean growth curves. GMM allows for different growth parameters across each class. A number of novel, clinical and practical applications of this methodology will be discussed.
HOST:
Dr Sharon Sung
Assistant Professor
Health Services and Systems Research Programme
Duke-NUS Medical School
VENUE:
Duke-NUS Medical School
Amphitheatre, Level 2
CONTACT PERSON:
Ms Serene Wie (serene.wie@duke-nus.edu.sg)
Duke-NUS Research Affairs Department
Date and Time
25 Sep 2025 @ 12:00 - 25 Sep 2025 @ 13:00
Speaker
Prof Maggie Kuchibhatla
Professor
Department of Biostatistics and Bioinformatics
Department of Psychiatry and Behavioral Sciences
Duke University Medical Centre
Dr.
Kuchibhatla is a Professor in the Departments of Biostatistics and
Bioinformatics, and Psychiatry at Duke University Medical Center. Dr.
Kuchibhatla has a number of statistical methological interests, and has worked
collaboratively on a number of funded National Institutes of Health (NIH),
foundation and industry sponsored grants.