Course Schedule
Weekly lecture schedules and course information will be posited here. Please note as the term progresses, there might be changes and updates to the course calendar.
| Week | Date | Topic | Tutorial |
|---|---|---|---|
| 1 | Apr 17 | Lecture 1: Course introduction; Review of Probability and Other statistical concepts | Demonstrate generating samples from various probability distributions |
| 2 | Apr 24 | Lecture 2: Introduction to Bayesian approach; Introduce Beta-Binomial & Normal-Normal Bayesian models with clinical examples | Simple Bayesian models (Beta-Binomial & Normal-Normal) |
| 3 | May 1 | Lecture 3: Prior Distributions | Prior elicitation |
| 4 | May 8 | Lecture 4: Normal Models and Bayesian Linear Regression I & class presentation 1 | Bayesian regression analysis in R I |
| 5 | May 15 | Lecture 5: Hierarchical models and convergence | Bayesian regression analysis in R II |
| 6 | May 22 | Lecture 6: Models for Binary Data | Bayesian regression analysis in R III |
| 7 | May 29 | Lecture 7: Models for Count Data & Guest lecture on Bayesian clinical analysis | Bayesian regression analysis in R IV |
| 8 | Jun 5 | Guest lecture on Intro to Bayesian Randomized Controlled Trials & class presentation 2 |