310 Parran Hall

412-624-3023

http://www.biostat.pitt.edu/

biostat@pitt.edu

The emphasis in this training program is placed on statistical methods and their application in the health sciences and on the use of computer technology as a tool for studying and solving problems in the health field. Specialty areas for students are biometry with a focus on application of statistical theory and methods to the solution of public health problems and public health statistics, a program for students with a prior professional degree or background in health. Doctoral students are trained to assume leadership roles in research. Major areas of interest for doctoral students include: survival analysis, multivariate analysis, stochastic modeling and missing data analysis. Major areas of application of the statistical methodology includes environmental and occupational health, cancer, evaluation of diagnostic imaging systems, geriatrics, transplantation, and otolaryngology. The course of study varies depending upon the program. In each case, the first year includes an intensive year-long core course comprised of modules on current research problems with an emphasis on critical thinking and breadth. Students also explore scientific opportunities by attending departmental symposia, including a retreat at the department's field station, and by rotating through three laboratories (in MCDB and MB). Once an area of specialization is chosen, the major effort is on the student's dissertation research. Informal research meetings and seminars by local and visiting scientists are held. Students and faculty interact with neighboring scientists at the University of Pittsburgh Medical School, Pittsburgh Cancer Institute, Pittsburgh Genetics Institute, Graduate School of Public Health, Carnegie Mellon University, and Carnegie Museum, providing additional breadth to the program.