Biostatistics

Demonstrate familiarity with intermediate statistical theory and methods, Statistical Inference, Linear Regression, Categorical Data Analysis and Modern Causal Methods, Epidemiology, Longitudinal Data Analysis, and Survival Analysis.

Demonstrate familiarity with core content of at least one area in health sciences: for example- genetics.

Be able to: Formulate and perform a descriptive and inferential analysis of a public health or other health sciences study using statistical software. Reshape data for analysis using a programming or statistical language. Interpret the findings from a moderately complex analysis.

Understand and be able to address ethical, regulatory and practical aspects of human subjects research including human subjects protections and IRB requirements.

Demonstrate competence in collaborative research in at least one area of public health or health sciences.

Be capable of self directed learning of unfamiliar statistical methods and written and oral presentation of results/findings.