| Week | Day | Date | Topic | Notes.or.Lab | Supplemental | Homework | Reading |
|---|---|---|---|---|---|---|---|
| 1 | M | 1/5/2026 | Introduction | Welcome and Introduction | Install R and Rstudio | ||
| 1 | Tu | 1/6/2026 | Review of Key Concepts | Lec 2; Quarto Intro | |||
| 1 | Th | 1/8/2026 | Simple Linear Regression | Lec 3 | RMB 3.3 | ||
| 2 | M | 1/12/2026 | Simple Linear Regression | Lab 1, Lec 3 | |||
| 2 | Tu | 1/13/2026 | Lab: Linear Regression | Lab 1, Lec 3 | Matrix Algebra Review | HW 1 assigned | |
| 2 | Th | 1/15/2026 | Simple Linear Regression | Lec 3, Lab 1 | Log Transformations | RMB 3.2 | |
| 3 | M | 1/19/2026 | No class (MLK, Jr. Holiday) | ||||
| 3 | Tu | 1/20/2026 | Lab: Linear Regression model assumptions | Lab 2 | |||
| 3 | Th | 1/22/2026 | Logistic Regression | Lec 4 | HW 1 due; HW 2 assigned | ||
| 4 | M | 1/26/2026 | Logistic Regression | Lec 4 | |||
| 4 | Tu | 1/27/2026 | Logistic Regression Lab | Lab 3 | RMB 3.4; 6.1 | ||
| 4 | Th | 1/29/2026 | Precision | HW 3 assigned | |||
| 5 | M | 2/2/2026 | Lab: Logistic Regression | Lab 3 | |||
| 5 | Tu | 2/3/2026 | Precison | Lec 5.1 5.2/Lab 4 | HW 2 due | RMB 5.1 | |
| 5 | Th | 2/5/2026 | Confounding and Effect Modification | Lec 6 | |||
| 6 | M | 2/9/2026 | Lab: Multivariable models | Lab 4 | |||
| 6 | Tu | 2/10/2026 | Multivariable Models | Lec 7 | |||
| 6 | Th | 2/12/2026 | Multivariable Models | Lec 7 | HW 3 due; HW4 assigned | ||
| 7 | M | 2/16/2026 | Frequentist Estimation and Bayesian Inference | ||||
| 7 | Tu | 2/17/2026 | Frequentist Estimation and Bayesian Inference | ||||
| 7 | Th | 2/19/2026 | Weighted regression | Mini Lab, weighted Regression | HW 4 due | ||
| 8 | M | 2/23/2026 | Review | ||||
| 8 | Tu | 2/24/2026 | Midterm Exam | In class exam | |||
| 8 | Th | 2/26/2026 | Time to event models | RMB: 3.5; 7.1; 7.2.1-7.2.7 | |||
| 9 | M | 3/2/2026 | Lab: Go over midterm exam | ||||
| 9 | Tu | 3/3/2026 | Time to event models | ||||
| 9 | Th | 3/5/2026 | Lab: Time to event | Lab 6 | HW 5 | ||
| 10 | M | 3/9/2026 | Spring Break | ||||
| 10 | Tu | 3/10/2026 | Spring Break | ||||
| 10 | Th | 3/12/2026 | Spring Break | ||||
| 11 | M | 3/16/2026 | Poisson Regression | ||||
| 11 | Tu | 3/17/2026 | Modeling effect Modification | ||||
| 11 | Th | 3/19/2026 | Modeling effect Modification | HW 5 due | |||
| 12 | M | 3/23/2026 | No Lab (Take home exam) | Take Home Exam | |||
| 12 | Tu | 3/24/2026 | Lab: Poisson Models and Effect Modfiction | HW 6 | |||
| 12 | Th | 3/26/2026 | Multinomial and Ordinal Regression | ||||
| 13 | M | 3/30/2026 | Lab: Discrete Outcome Regression | ||||
| 13 | Tu | 3/31/2026 | Flexible Modeling of Dose Reponse | ||||
| 13 | Th | 4/2/2026 | Flexible Modeling of Dose Reponse | HW 6 due | |||
| 14 | M | 4/6/2026 | ANOVA Model Choice | HW 7 | |||
| 14 | Tu | 4/7/2026 | Regression based prediction | ||||
| 14 | Th | 4/9/2026 | Prediction and Bayesian Model Diagnostics | ||||
| 15 | M | 4/13/2026 | Bootstrap | Practice Questions | |||
| 15 | Tu | 4/14/2026 | Missing data | HW 7 due | |||
| 15 | Th | 4/16/2026 | Correlated Continuous Outcomes | Lec 14 | |||
| 16 | M | 4/20/2026 | Review/Answer questions | ||||
| 16 | Tu | 4/21/2026 | Final Exam | In class exem | |||
| 17 | M | 4/27/2026 | Return and review exam (optional) |
Bios 6312: Modern Regression
January 6, 2026
This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.
Notes and Lab refer to course notes
RMB is Regression Methods in Biostatistics
Schedule updated Mon Apr 13 10:41:57 AM 2026