PhD, Biostatistics, University of Southern California, Los Angeles, California
BS, Mathematics, Cal Poly Pomona, Pomona, California
Dr. Shen is the biostatistician lead for the Division of Health Services Research & Implementation Science. Dr. Shen’s research interests cover several areas of statistical methodology, including quantile regression, multilevel models, and structural equation modeling. At Kaiser Permanente, his research has mostly focused on finding novel applications for structural equation modeling techniques in health services research, and the comparison of those to other classification methods. Dr. Shen is also developing new models and methodology for latent class analysis, to identify and relate underlying classes of patient characteristics to relevant outcomes, such as hospital readmissions.