Faculty researchers in the Department of Biostatistics and Applied Mathematics at The University of Texas M. D. Anderson Cancer Center participate in the investigation and development of biostatistical theory and methodology and the application of such efforts to collaborative studies in basic science and clinical research related to the prevention, screening, diagnosis, treatment, analysis, and understanding of cancer. Research sections in the department include biostatistics, bioinformatics, biomathematics, and health services.

Biostatisticians investigate the theory and application of Bayesian statistics and inference; sequential design and analysis of clinical trials and basic science experiments; survival analysis; nonparametric methods; nonlinear regression; longitudinal data analysis; translational cancer prevention study design and analysis; dynamic processes of cancer screening procedures; the pharmacokinetics and pharmacodynamics of anticancer agents; and computer-assisted image interpretation.

Specialists in bioinformatics investigate methods to extract meaningful biologic information from high-throughput genomic data, involving statistical, mathematical, and computational modeling of gene expression profiles, cDNA microarrays and SAGE.

The biomathematics specialists formulate mathematical models of complex biologic systems, with a particular focus on carcinogenesis; cellular and molecular responses to radiation therapy; and structural bioinformatics, involving molecular docking, protein folding, and ligand binding.

Health services researchers investigate the distribution and determinants of health care quality, treatment outcomes, and access to cancer care services and supportive care; conduct cost-effectiveness analyses; and model the relationships between cancer and medical decision making, pharmacoeconomics, and labor economics.

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