Hua He, PhD
Associate Professor of Biostatistics
Education & Affiliations
Dr. Hua He is an Associate Professor of Biostatistics with research interests in the fields of mixture population modeling, causal inference, longitudinal data analysis, semi-parametric and nonparametric inference, ROC analysis, social network analysis, and applications of statistical methods to a wide range of disciplines in medical and health research. She is the recipient of an NIH R01 study entitled "Moving beyond description: statistical and causal inference for social media data", and has served as PI for pilot studies on causal inference for zero-modified models and on novel models for analyzing drinking outcomes, and as co-investigator/biostatistician for dozens of NIH and other foundation funded studies. Dr. He teaches Analytic Epidemiology and co-teaches Advance Epidemiologic Methods. She has co-authored a graduate-level textbook, Applied Categorical and Count Data Analysis (Chapman & Hall/CRC) and co-edited a book entitled "Statistical Causal Inferences and Their Applications in Public Health Research" (Springer). She is the Co-director of the Clinical Research Core and the Director of the Methodology/Biostatistics Unit at Tulane University Translational Science Institute (TUTSI). Dr. He has also been appointed as the Statistical Deputy Editor for the American Journal of Public Health (AJPH). Prior to joining the faculty at Tulane, she was an Assistant Professor at the University of Rochester, where she received both her Master of Arts and Doctor of Philosophy in statistics.
- Mixture population modeling
- Causal inference
- Longitudinal data analysis
- Semi-parametric and nonparametric inference
- ROC analysis
- Social network analysis
Honors & Awards
- Teaching Excellent Award (2020)
Please view Dr. He's publications at her NCBI profile page.