Coordinating Center for Clinical Trials
Advancing public health science by providing comprehensive trial coordination for small and large multicenter studies.
Research
Our school's research centers have a long history of working with communities to create the tools, programs and information that lead to healthier lives. The school is home to 17 research centers spanning a wide range of research interests, and over 20 research labs led by faculty. Students are encouraged to engage with research opportunities based on their interests, academic and career aspirations.
Affiliated Research Centers
Center for Biostatistics Collaboration and Data Services
Identify, integrate and coordinate the expertise and resources in biostatistics, informatics and computational/quantitative data sciences to support biomedical and health science research and practice.
Center for Spatial-Temporal Modeling for Applications in Population Sciences
Pioneering the use of spatial-temporal data science to uncover hidden patterns in public health data, transcending disciplinary boundaries, and facilitating the translation of insights into impactful public health interventions.
Center for Big Data in Health Sciences
Developing and promoting innovative data science technologies that harness Big Data to improve the health of the people of Texas, the nation and the world.
The Department of Biostatistics & Data Science has a diverse array of statistical and data science research areas available to our faculty and students.
Our research interests and efforts include a focus on the following areas, as well as many others:
- Clinical Trials
- Experimental and Adaptive Designs
- Survival Data Analysis
- Longitudinal Data from Observational and Epidemiological Studies
- Bayesian Methods in Public Health
- Bioinformatics/Computational Biology
- EHR/EMR, Insurance Claim and Healthcare Data Modeling/Analysis
- Imaging Data Analysis
- GIS/Spatio-temporal Data Analysis
- Risk and Disease Progression Modeling
- Unstructured Data Analysis
- Big Data Analytics
- Data Management, Harmonization and Integration
- Data Visualization and Software Tool Development
- Missing Data
- Stochastic Processes
- Nonparametric statistics
- Time Series Data
- Casual Inference
- Statistical Genetics
- Machine Learning Methods