| 1 | Apply the theoretical foundations of probability theory and distribution theory | BIOSTAT601 |
| 2 | Apply foundational mathematical statistical concepts and skills for conducting statistical inference | BIOSTAT602 |
| 3 | Perform linear regression model fitting and diagnostic assessment | BIOSTAT650 |
| 4 | Understand the main components of generalized linear models and how to choose an appropriate model based on the outcomes and study design | BIOSTAT651 |
| 5 | Fit generalized linear models for various outcome types and provide correct interpretation of the results | BIOSTAT651 |
| 6 | Use general linear models and linear mixed models for analyzing correlated continuous data, as well as marginal (i.e. generalized estimating equations), conditional (i.e. generalized linear mixed model) and transition models for analyzing correlated discrete data | BIOSTAT653 |
| 7 | Properly interpret and present the results from such longitudinal analysis to both methods and substantive audiences | BIOSTAT653 |
| 8 | Analyze, interpret, and communicate through written and oral presentation the results of a statistical analysis of biomedical data to an audience from a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, nursing, or pharmacy) and for the broad scientific community | BIOSTAT699 |
