Research
Biostatistics focuses on statistical applications in clinical and basic science research:
- Analysis of population pharmacokinetics
- Applied decision theory
- Bayesian modeling, computation and inference
- Clinical trial design and analysis
- Disease mapping
- Genetic testing algorithms
- Hierarchical modeling
- Longitudinal studies
- Markov chain Monte Carlo algorithms
- Missing data analytic procedures
- Neural network modeling
- Noninferiority analysis
- Nonlinear dynamics
- Nonparametric statistical methods
- Pharmacodynamic modeling
- Prognostic factor studies
- Regression analysis
- Sequential statistical designs
- Statistical methods for cancer screening studies
- Survival data analysis
Data Resources
As part of our mission to end cancer, UT MD Anderson provides resources to the wider cancer research community, from datasets and assistance with statistical analysis, to software that can help produce clinical insights.
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Research Areas
Find out about the four types of research taking place at UT MD Anderson.
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