Divisions
- Behavioral Medicine
- Biostatistics & Bioinformatics
- Epidemiology
- Global Health
- Health Policy
DIVISION OF BIOSTATISTICS & BIOINFORMATICS
IN THE HERBERT WERTHEIM SCHOOL OF PUBLIC HEALTH AND HUMAN LONGEVITY SCIENCE
WHAT WE DO
We have expertise in design and analysis of clinical trials, behavioral interventions, cohort studies, and biomarker studies, including such areas as longitudinal models, “big data” and high dimensional analyses, image analysis, and survey statistics
Our goal is to pursue excellence in the following areas:
- Methodological research in biostatistics and bioinformatics, in particular methods responsive to new quantitative and scientific problems arising from advances in medicine, biology and health care systems
- Collaborative clinical, biological, and translational research
- Education in contemporary statistical theory and applications
- Service to the university and local community
EDUCATION & TRAINING IN BIOSTATISTICS
Biostatistics and Bioinformatics offers two graduate degrees: a Master of Science and a PhD. Undergraduate students also have the opportunity to specialize in Biostatistics as a Public Health major.
News and Announcements
Faculty Spotlight
Wesley Thompson, PhD cited in study identifying rates of brain abnormalities in healthy children.
Faculty Spotlight
Florin Vaida, PhD cited in study demonstrating that an optical tool in smartphones is effective at assessing blood-oxygen levels.
Postdoctoral Biostatistics Fellowship Open
The fellowship is a 12-month appointment with supervising professor, Steve Edland, PhD.
RESEARCH
Our research interests include clinical trials methods, survival analysis, prognostic modeling, longitudinal data analysis, imaging, statistical genetics, semi-parametric and non-parametric statistics, computational statistics, Bayesian statistics, machine learning, and computational biology.
Seminars
05/05/2021
"Surrogate Assisted Semi-Supervised Inference for High Dimensional Risk Prediction" presented by Jue “Marquis” Hou, PhD
04/07/2021
"Proximal Causal Learning for Complex Longitudinal Studies" presented by Andrew Ying, PhD
01/21/2021
"Learning survival from EMR/EHR data to estimate treatment effects using high dimensional claims codes" presented by Lily (Ronghui) Xu, PhD
EXPLORE
Faculty and students in Biostatistics & Bioinformatics encourage involvement with the American Statistical Association. Visit the This is Statistics webpage for more information on this exciting field!