| Tue 8/27 | 1. Linear models: Estimation | Introduction; least squares estimation | Syllabus, Getting started, AI tools, Chapters 1, 2, 3 | – |
| Thu 8/29 | 1. Linear models: Estimation | ANOVA and R2 | Chapter 4 | – |
| Tue 9/3 | 1. Linear models: Estimation | Collinearity and adjustment | Chapter 5 | – |
| Thu 9/5 | – | Statistical computing | Chapter 6, R4DS Chapters 1, 3, Preparing reports, Programming best practices | – |
| Tue 9/10 | 2. Linear models: Inference | Inferential preliminaries | Chapter 7 | – |
| Thu 9/12 | 2. Linear models: Inference | Hypothesis testing | Chapter 8 | Homework 1 due at 10am (GitHub, PDF) |
| Tue 9/17 | 2. Linear models: Inference | Power of hypothesis testing | Chapter 9 | – |
| Thu 9/19 | 2. Linear models: Inference | Confidence intervals; practical considerations | Chapters 10, 11, 12 | – |
| Tue 9/24 | 3. Linear models: Misspecification | Overview of misspecification | Chapter 13 | – |
| Thu 9/26 | 3. Linear models: Misspecification | Overview of misspecification | Chapter 13 | Homework 2 due at 10am (GitHub, PDF) |
| Tue 10/1 | 3. Linear models: Misspecification | Robust asymptotic inference | Chapter 14 | – |
| Thu 10/3 | (Fall Break) | – | – | – |
| Tue 10/8 | 3. Linear models: Misspecification | The bootstrap | Chapter 15 | – |
| Thu 10/10 | 3. Linear models: Misspecification | The permutation test and robust estimation | Chapters 16, 17, 18 | – |
| Tue 10/15 | 4. GLMs: General theory | Exponential dispersion models | Chapter 19 | – |
| Thu 10/17 | 4. GLMs: General theory | Unit deviance, saddlepoint approximation | Chapter 19 | Homework 3 due at 10am (GitHub, PDF) |
| Tue 10/22 | 4. GLMs: General theory | GLM definition and estimation | Chapter 20, 21 | – |
| Thu 10/24 | 4. GLMs: General theory | Inference in GLMs | Chapter 22 | – |
| Tue 10/29 | 4. GLMs: General theory | Inference in GLMs | Chapters 22, 23 | – |
| Thu 10/31 | 4. GLMs: General theory | Inference in GLMs | Chapters 22, 23 | – |
| Tue 11/5 | 5. GLMs: Special cases | Logistic regression | Chapter 24 | – |
| Thu 11/7 | 5. GLMs: Special cases | Logistic regression | Chapter 24 | Homework 4 due at 9pm (GitHub, PDF) |
| Tue 11/12 | 5. GLMs: Special cases | Poisson regression | Chapter 25 | – |
| Thu 11/14 | 5. GLMs: Special cases | Poisson regression | Chapter 25 | – |
| Tue 11/19 | 5. GLMs: Special cases | Negative binomial regression | Chapters 26, 27 | – |
| Thu 11/21 | 6. Multiple testing | Intro to multiple testing and global testing | Chapter 28 | – |
| Tue 11/26 | 6. Multiple testing | Global testing | Chapter 29 | Homework 5 due at 9pm (GitHub, PDF) |
| Thu 11/28 | (Thanksgiving Break) | – | – | – |
| Tue 12/3 | 6. Multiple testing | FWER and FDR control | Chapter 30 | – |
| Thu 12/5 | 6. Multiple testing | Advanced topics | TBD | – |
| Thu 12/12 | – | – | – | Final exam released at 9am EST (GitHub) |
| Tue 12/19 | – | – | – | Final exam due at 9pm EST |