Ernest Shen, PhD
Research Scientist I
Division of Biostatistics Research
Dr. Ernest Shen is the collaborative biostatistician research scientist for the Division of Health Services Research & Implementation Science in the Department of Research & Evaluation. 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 is mostly focused on finding novel applications for structural equation modeling techniques in health services research. He is also interested in comparing those techniques with other classification methods.
Dr. Shen is working on models and methods for latent class analysis, with a specific focus on their application to data that can be passively collected from electronic medical records. The goal of this work is to identify and relate underlying classes of patient characteristics to relevant outcomes, such as hospital readmissions or patient-reported outcome measures.
Areas of Focus
- Structural equation modeling
- Robust statistics
- Health services research
University of Southern California
California State Polytechnic University, Pomona