Advances throughout the medical and biological sciences rely to an increasing degree on the principles and methods of statistical analysis. The ability of a laboratory to generate data often outpaces its ability to fully analyze that data;and this can negatively affect progress towards the next experiment. Being a science concerned with the collection, analysis, and interpretation of data itself, statistics will play a critical role in resolving the information bottleneck facing biomedical scientists. The research mission of our program is to pursue the most important problems at the interface between statistics and biomedical science: the problems of biostatistics.
The aims of our interdisciplinary training program are to recruit and provide pre-doctoral training in biostatistics to talented students who are interested in careers in biomedical science. The demand is high for scientists with this expertise. In contrast with traditional biostatistics training, the proposed program will emphasize and further support the interdisciplinary elements of biostatistician research. We request support in year one for six trainee slots, ramping up to eight in the fourth and fifth years. The pre-doctoral trainees will engage in course work and lab rotations until suitably prepared for dissertation work. Through course work, pre-doctoral trainees will learn theoretical, methodological, and practical underpinnings of statistics, and also relevant topics in biology, bioinformatics, clinical investigation, population-based investigation, and the responsible conduct of research. In a novel lab rotation system, trainees will become familiar with the biomedical context surrounding active investigations. Contributing to the program is leading research/training departments, a high level of collaborative research across many disciplines, and a proactive approach to increasing the domestic supply of undergraduates through summer internship programs. Those who succeed in the program will be well positioned for further success in academia, government or industry.

Public Health Relevance

By our research we know that biostatistics has a critical role to play in modern biomedical science, and so we have designed an interdisciplinary training program to most effectively train the next generation of biostatisticians.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM074904-08
Application #
8284299
Study Section
Special Emphasis Panel (ZGM1-BRT-X (TR))
Program Officer
Brazhnik, Paul
Project Start
2005-07-11
Project End
2014-06-30
Budget Start
2012-07-01
Budget End
2014-06-30
Support Year
8
Fiscal Year
2012
Total Cost
$178,618
Indirect Cost
$8,490
Name
University of Wisconsin Madison
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
McDaniel, Lee S; Yu, Menggang; Chappell, Rick (2016) Sample size under the additive hazards model. Clin Trials 13:188-98
Henderson, Nicholas C; Newton, Michael A (2016) Making the cut: improved ranking and selection for large-scale inference. J R Stat Soc Series B Stat Methodol 78:781-804
Ye, Shuyun; Dawson, John A; Kendziorski, Christina (2014) Extending information retrieval methods to personalized genomic-based studies of disease. Cancer Inform 13:85-95
McDaniel, Lee S; Henderson, Nicholas C; Rathouz, Paul J (2013) Fast Pure R Implementation of GEE: Application of the Matrix Package. R J 5:181-187
Dawson, John A; Kendziorski, Christina (2012) An empirical Bayesian approach for identifying differential coexpression in high-throughput experiments. Biometrics 68:455-65
Lavine, Jeremy A; Raess, Philipp W; Stapleton, Donald S et al. (2010) Cholecystokinin is up-regulated in obese mouse islets and expands beta-cell mass by increasing beta-cell survival. Endocrinology 151:3577-88
Newton, Michael A; Chung, Lisa M (2010) GAMMA-BASED CLUSTERING VIA ORDERED MEANS WITH APPLICATION TO GENE-EXPRESSION ANALYSIS. Ann Stat 38:3217-3244
Dennison, Sophie; Haulena, Martin; Williams, D Colette et al. (2008) Determination of a sedative protocol for use in California sea lions (Zalophus californianus) with neurologic abnormalities undergoing electroencephalographic examination. J Zoo Wildl Med 39:542-7
Chang, Julie E; Medlin, Stephen C; Kahl, Brad S et al. (2008) Augmented and standard Berlin-Frankfurt-Munster chemotherapy for treatment of adult acute lymphoblastic leukemia. Leuk Lymphoma 49:2298-307