Intermediate Biostatistics for Public Health
This course will help students think clearly and critically about asking and answering research questions in public health. The first part of the course covers foundational tools required to formulate and answer clear research question: probability, density, independence, expectation, estimators, sampling distributions, inference, and potential outcomes. The second part of the course uses this language to introduce linear, logistic, and nonparametric regression and shows how to use these methods to answer descriptive, predictive, and causal research questions.
Topics
- 3. Distinguish between estimands and estimates 1. Translate between mathematical notation, diagrams, English prose and code 2. Demonstrate fundamental ideas in probability and statistics (e.g., conditioning, independence, expectation, consistency) using multivariate simulation
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1178782', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1174991', 'concurrentPrerequisit': False}; {'preRequisiteCourse': '1178781', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027