Department of Biostatistics
Kim-Anh Do, Ph.D., Chair
The Department of Biostatistics at MD Anderson:
- Enhances the scientific excellence of MD Anderson research through outstanding statistical designs and methods, including the proper and efficient use of standard and cutting-edge methods, as well as the development of novel innovative methods
- Provides biostatistical collaboration, consultation and quantitative research resources to clinical, diagnostic, laboratory, population, and prevention scientists engaged in the planning, conduct, analysis, quality assurance, and interpretation of research studies
- Trains and mentors the next generation of biostatisticians through an innovative and relevant curriculum and through exposure to unique data sets, the latest research methodology and findings, and state-of-the-art computing technology
- To provide biostatistical leadership in the institution and the larger cancer research community regarding the proper and innovative design and analysis of clinical, diagnostic, laboratory, population, and prevention studies
- To develop innovative clinical trial designs that most efficiently utilize the available information from a trial, protect patients within the trial from excessive toxicity or ineffective treatments, and provide patients with the best possible treatment within a particular trial. These include Bayesian monitoring strategies, improved dose-finding strategies, adaptive randomization, and improved screening designs.
- To develop innovative methods for analyzing data resulting from collaborative cancer research studies, including standard outcomes such as survival, response, symptoms, and quality of life measures, as well as complex data from emerging technologies, including high-dimensional genomics data and imaging data. Methods for data mining, adaptive learning, and integrating information across multiple platforms in the context of personalized medicine are currently being developed.
- To ensure that MD Anderson studies are properly designed to reach their intended goals, that they are sufficiently powered, and that the design and analyses appropriately control and adjust for confounding factors
- To provide biostatistical collaborative support for clinical trials, including diagnostic, therapeutic, translational, and prevention studies. This support includes the design, interim monitoring, final analysis, report, and proper interpretation of study results in collaboration with the principal investigator and co-investigators.
- To provide outstanding statistical analyses for MD Anderson research studies, including the proper use of standard and cutting-edge methods in an efficient fashion to maximize power for discoveries while appropriately controlling type I errors and false discoveries
- To develop and participate in inter-institutional graduate academic programs in biostatistics
- To provide educational programs in biostatistical literacy and principles for non-quantitative research scientists and clinicians
News and Events
Kim-Anh Do elected as AAAS Fellow
Professor and Chair Kim-Anh Do was elected as a Fellow of the American Association for the Advancement of Science in November 2013. Dr. Do will be honored for her distinguished contributions to computational statistics and integrated statistical methodology to analyze complex genetic, protein and metabolic data, with applications to translational cancer research and personalized medicine. She will receive an official certificate and the AAAS rosette pin in February 2014 at the annual meeting of the association in Chicago. The AAAS is the world's largest general science society.
The 7th Annual Bayesian Biostatistics and Bioinformatics Conference will be held locally February 12 through 14, 2014.
2013 is the International Year of Statistics
Seven Biostatistics Faculty are ASA Fellows
Seven of the department's faculty members have attained the prestigious honor of being named a Fellow in the American Statistical Association: Donald A. Berry (1986), Ziding Feng (1997), Kim-Anh Do (2006), Yu Shen (2007), J. Jack Lee (2008), Jeffrey S. Morris (2011), and Sanjay Shete (2012).