This webinar will be focused on latent class cluster analyses (LCCA). LCCA is a model based cluster analysis method used to identify subtypes of related cases (latent classes) from categorical, ordinal, and continuous multivariate data. It provides a way of identifying latent segments (types) for which parameters in a specified model differ.

Traci Clemons, PhD, Vice President at The EMMES Corporation. Dr. Clemons oversees the Data Coordinating Center for MCHB funded Autism Intervention Research Network on Physical Health (AIR-P). Dr. Clemons also serves as Principal Investigator for numerous statistical and data coordinating centers sponsored by the Federal government and private pharmaceutical corporations in a variety of disease areas, such as age related macular degeneration, cataract, macular telangiectasia, and pediatric inflammatory bowel disease.

Supported by the Maternal and Child Health Bureau's (MCHB) Division of Research, Training, and Education. Health Resources and Services Administration, U.S. Department of Health and Human Services.