This proposal outlines a new pre-doctoral training program in biostatistics that emphasizes applications to genomics and personalized medicine. Primary faculty members are from the Departments of Health Research &Policy and Statistics at Stanford University. A group of affiliate faculty from biochemistry, genetics, cardiology and other areas provide the necessary breadth for interdisciplinary research. The trainees in the program pursue a PhD in the Department of Statistics, with a concentration in Biostatistics;this option currently not available at Stanford. In addition to fulfilling the requirements of the PhD i Statistics, the proposed program will include additional course work in biomedical sciences, mentored research experienced in a collaborative setting, and training in the responsible conduct of research.

Public Health Relevance

Medicine increasingly relies on high-throughput technologies in an effort to provide personalized care, targeting therapies to the specific characteristics of each patient. To translate the output of these modern technologies into information useful for medical practice, one needs to mine and understand large and complex datasets. The program that we propose will equip students with state-of-the-art methods for experimental design and data analysis, and will train them in the art of effective collaboration with medical scientists and biologists. Trainees will be empowered to take on the challenge of analyzing novel complex datasets, and from this, extract information and knowledge with the potential for improving patient care and public health.

Agency
National Institute of Health (NIH)
Type
Institutional National Research Service Award (T32)
Project #
5T32GM096982-03
Application #
8689103
Study Section
Special Emphasis Panel (ZGM1)
Program Officer
Marcus, Stephen
Project Start
Project End
Budget Start
Budget End
Support Year
3
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Stanford University
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
City
Stanford
State
CA
Country
United States
Zip Code
94304