Advances throughout the biomedical sciences rely to an increasing degree on the principles and methods of statistical analysis. The ability of a lab or clinic to generate data often outpaces its ability to fully analyze that data;and this can limit research progress. 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 cardiovascular and pulmonary 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 biostatistical research. 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. Those who succeed in the program will be well positioned for further success in academia, government or industry. Contributing to the program are 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. We know that biostatistics has a critical role to play in modern cardiovascular and pulmonary medical science, and so we have designed an interdisciplinary training program to most effectively train the next generation of biostatisticians.

Public Health Relevance

Biostatistics is a fundamental scientific component of biomedical, public health and health services research, providing expertise in the design, monitoring ,and conduct, and leading the analysis of resulting data. While biostatistics expertise is paramount to the success of research initiatives, the current demand for biostatisticians far exceeds the supply and the gap is expected to continue to widen, accelerated by recent developments in genomics. The Interdisciplinary Training Program in Cardiovascular and Pulmonary Biostatistics will use an interdisciplinary approach to train the next generation of doctoral level biostatisticians, building upon our collaborations with researchers in cardiovascular and pulmonary medicine.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Institutional National Research Service Award (T32)
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Special Emphasis Panel (ZHL1-CSR-M (F1))
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Silsbee, Lorraine M
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University of Wisconsin Madison
Biostatistics & Other Math Sci
Schools of Medicine
United States
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Bartels, Christie M; Ramly, Edmond; Johnson, Heather M et al. (2018) Connecting Rheumatology Patients to Primary Care for High Blood Pressure: Specialty clinic protocol improves follow-up and population blood pressures. Arthritis Care Res (Hoboken) :
Fernandes-Taylor, Sara; Berg, Stephen; Gunter, Rebecca et al. (2018) Thirty-day readmission and mortality among Medicare beneficiaries discharged to skilled nursing facilities after vascular surgery. J Surg Res 221:196-203
Panyard, Daniel J; Ramly, Edmond; Dean, Shannon M et al. (2018) Bridging clinical researcher perceptions and health IT realities: A case study of stakeholder creep. Int J Med Inform 110:19-24
Reinhart, Jennifer M; Rose, Warren; Panyard, Daniel J et al. (2018) RNA expression profiling in sulfamethoxazole-treated patients with a range of in vitro lymphocyte cytotoxicity phenotypes. Pharmacol Res Perspect 6:e00388
Barry, Christopher; Schmitz, Matthew T; Jiang, Peng et al. (2017) Species-specific developmental timing is maintained by pluripotent stem cells ex utero. Dev Biol 423:101-110
Bacher, Rhonda; Chu, Li-Fang; Leng, Ning et al. (2017) SCnorm: robust normalization of single-cell RNA-seq data. Nat Methods 14:584-586
Ye, Shuyun; Bacher, Rhonda; Keller, Mark P et al. (2017) Statistical Methods for Latent Class Quantitative Trait Loci Mapping. Genetics 206:1309-1317
Maronge, Jacob M; Zhai, Yi; Wiens, Douglas P et al. (2017) OPTIMAL DESIGNS FOR SPLINE WAVELET REGRESSION MODELS. J Stat Plan Inference 184:94-104
Vreede, Andrew P; Johnson, Heather M; Piper, Megan et al. (2017) Rheumatologists Modestly More Likely to Counsel Smokers in Visits Without Rheumatoid Arthritis Control: An Observational Study. J Clin Rheumatol 23:273-277
Fischer, Barbara L; Bacher, Rhonda; Bendlin, Barbara B et al. (2017) An Examination of Brain Abnormalities and Mobility in Individuals with Mild Cognitive Impairment and Alzheimer's Disease. Front Aging Neurosci 9:86

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