The Biostatistics Track provides students the necessary statistical reasoning and methodology skills to effectively design, assess, and analyze studies of the effectiveness and safety of therapeutic interventions, the characteristics and distribution of diseases in populations, health services research, and programs of health care delivery.
The Biostatistics Track builds on the core curriculum in the MPH program to offer students a practical foundation in biostatistics through courses in important areas such as statistical inference, probability, multivariable models, analysis of longitudinal and time to event (or survival) data, genetics, and statistical computing. This foundation is meant to be a springboard to launching a successful career in clinical research, for both clinical researchers seeking quantitative skills and those seeking careers as biostatisticians.
- Demonstrate ability to apply biostatistics and engage in collaborative public health research
- Apply the necessary quantitative, logical, and computational skills to successfully collaborate within clinical research teams
- Translate clinical questions into statistical hypotheses
- Effectively summarize public health data using both numerical and graphical techniques
- Utilize basic probability concepts and optimal study designs
- Devise effective means of data collection
- Develop analytical strategies that take account of the specific qualities of data to be analyzed, sources of variation, and assumptions required
- Interpret quantitative results and their implications for public health
- Effectively communicate complicated statistical concepts and results to clinical colleagues and community partners