Degree: PhD Institute Title: Data Statistical Analyst Email:email@example.com Office Phone: 314-516-8498
Dr. Peng’s primary research interests include developing and validating quantitative measures, evaluating the effectiveness of prevention programs, and structuring efficient statistical models to explore environmental and genetic risk factors. Her work also focuses on predicting various health problems by using a diverse array of analytical techniques, including multivariate multilevel regression, Latent Class Analysis, Longitudinal Structural Equation Modeling, Factor Analysis, and Measurement Invariance modeling in large scale datasets. Prior to join MIMH, Dr. Peng worked in multiple disciplines, including psychiatry, pediatrics, epidemiology, behavioral genetics,clinical neuroscience, and psychophysiology, with publications on alcohol and substance abuse, developmental disorders and health care utilization and costs. Currently, Dr. Peng is interested in designing and programming efficient models to investigate the relationship of neurocognitive function and integrity of brain structures in human immune deficiency syndrome and in older adults, and evaluating the utilization and cost of mental illness in Medicaid claims and assessing the program effectiveness of Missouri HealthCare Homes system.