Health Data Science

This course introduces key statistical concepts and methods used in health data science, with a focus on practical applications to real-world health research. We will explore the diverse sources of health data and cover analytic methods including survival analysis, survey data analysis, and causal inference. Emphasis will be placed on translating research questions into rigorous statistical analyses, addressing issues of bias and confounding, and effectively communicating findings. Students will gain experience working with complex health datasets and applying modern statistical tools to inform evidence-based decision-making in health care and public health. Prerequisite: ([STA 210L or STA 221L] and STA 310L) or STA 521L or IDS 702, or equivalent course with instructor permission.