Dr. Tan Li is an assistant professor and deputy director for the Integrated Biostatistics Center. He is interested in developing and implementing statistical methodologies for real world applications. Dr. Li’s research interests encompass many areas in the field of Biostatistics, such as item response theory for ordinal data analysis, multilevel regression modeling, and logic regression modeling. His current studies include dimensionality assessment of latent variables for both binary and ordinal data, heterogeneity modeling in multilevel mixture models, logistic model fitting with multidimensional latent variables, and logic regression modeling for repeated measurements. Dr. Li provides biostatistical support for numerous studies in the Center of Children and Families (CCF) and the Center for Research on U.S. Latino HIV/AIDS and Drug Abuse (CRUSADA).