Week |
Date |
Lesson |
Reading |
Video |
Slides |
Slides (pdf) |
Lab |
Problem Sets |
Case Study |
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MODULE 1: INTRODUCTION AND REVIEW |
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WEEK 1 |
Mon, Aug 23 |
Module 1.1: Course overview and introduction |
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Module 1.2: Review |
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Module 1.3: Introduction to hierarchical models |
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Wed, Aug 25 |
Module 1.4: Review of one way ANOVA (formulation and estimation) |
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Module 1.5: Review of one way ANOVA (step-down tests and matrix formulation) |
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Module 1.6: Review of ANOVA (wrap-up) |
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Fri, Aug 27 |
Lab 1: Help, these kids are killing me! |
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MODULE 2: RANDOM EFFECTS ANOVA / HIERARCHICAL NORMAL MODEL |
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WEEK 2 |
Mon, Aug 30 |
Module 2.1: Random effects ANOVA (introduction) |
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Module 2.2: Random effects ANOVA (estimation) |
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Wed, Sept 1 |
Module 2.3: Random effects ANOVA illustration |
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Module 2.4: Random effects ANOVA (Bayesian estimation I) |
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NEW ASSIGNMENT: |
Homework 1 |
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Fri, Sept 3 |
Lab 2: Hospital Rankings (Part I) |
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Drop/Add ends |
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WEEK 3 |
Mon, Sept 6 |
Module 2.5: Random effects ANOVA (Bayesian estimation II) |
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Module 2.6: Random effects ANOVA (priors for group-level variance) |
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Wed, Sept 8 |
Module 2.7: Random effects ANCOVA (introduction) |
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Module 2.8: Random effects ANCOVA (cont'd) |
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DELIVERABLES: |
Homework 1 due! |
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Fri, Sept 10 |
Lab 3: Hospital Rankings (Part II) |
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WEEK 4 |
Mon, Sept 13 |
Module 2.9: Random effects ANCOVA (holistic analysis) |
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MODULE 3: GENERALIZED LINEAR MIXED EFFECTS MODELS |
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Wed, Sept 15 |
Module 3.1: Linear mixed effects models |
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NEW ASSIGNMENT: |
Homework 2 |
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Fri, Sept 17 |
Lab 4: Hospital Rankings (Part III) |
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WEEK 5 |
Mon, Sept 20 |
Module 3.2: Linear mixed effects models (influence measures) |
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Tue, Sept 21 | NEW ASSIGNMENT: |
Case Study I |
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Wed, Sept 22 |
Exam review |
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DELIVERABLES: |
Homework 2 due! |
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Fri, Sept 24 |
Lab 5: Do more beautiful professors get higher evaluations? (Part I) |
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WEEK 6 |
Mon, Sept 27 |
Exam I |
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Wed, Sept 29 |
Module 3.3: Bayesian linear mixed effects models |
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Fri, Oct 1 |
Lab 6: Do more beautiful professors get higher evaluations? (Part II) |
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WEEK 7 |
Mon, Oct 4 |
No class: fall break |
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Wed, Oct 6 |
Module 3.4: Nested vs non-nested random effects |
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Module 3.5: Logistic mixed effects model (Part I) |
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Fri, Oct 8 |
Lab: Help, my team needs help with Case Study I + general Q&A session with TA |
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WEEK 8 |
Mon, Oct 11 |
Case Study I Presentations |
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Wed, Oct 13 |
Module 3.6: Logistic mixed effects model (Part II) |
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Module 3.7: Logistic mixed effects model (Part III) |
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Fri, Oct 15 |
Lab 7: Hands on with Stan (Part I) |
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Sun, Oct 17 | DELIVERABLES: |
Case Study I reports due! |
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WEEK 9 |
Mon, Oct 18 |
Module 3.8: Multilevel categorical outcomes |
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DELIVERABLES: |
Case Study I evaluations due! |
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MODULE 4: OTHER TOPICS |
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Wed, Oct 20 |
Module 4.1: Measurement error |
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Module 4.2a: Poststratification and weighting (Part I) |
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NEW ASSIGNMENT: |
Homework 3 |
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Fri, Oct 22 |
Lab 8: Hands on with Stan (Part II) |
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WEEK 10 |
Mon, Oct 25 |
Module 4.2b: Poststratification and weighting (Part II) |
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Wed, Oct 27 |
No class |
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DELIVERABLES: |
Homework 3 due! |
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NEW ASSIGNMENT: |
Case Study II |
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Fri, Oct 29 |
Lab 9: Badgered by Badgers |
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WEEK 11 |
Mon, Nov 1 |
Module 4.3: Missing data |
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Wed, Nov 3 |
Module 4.4: Meta-analysis |
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NEW ASSIGNMENT: |
Homework 4 |
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Fri, Nov 5 |
Lab 10: Hands on with Stan (Part III) |
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WEEK 12 |
Mon, Nov 8 |
Module 4.5: Introduction to finite mixture models (categorical data) |
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Wed, Nov 10 |
Exam review |
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Fri, Nov 12 |
Lab: Help, my team needs help with Case Study II! |
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WEEK 13 |
Mon, Nov 15 |
Exam II |
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Wed, Nov 17 |
Module 4.6: Introduction to finite mixture models (continuous data) |
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Fri, Nov 19 |
Lab: Help, I need help with HW4/Case Study II! |
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WEEK 14 |
Mon, Nov 22 |
Case Study II Presentations; wrap-up |
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Tue, Nov 23 | DELIVERABLES: |
Homework 4 due! |
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Wed, Nov 24 |
Reading week: work on Case Study II |
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Fri, Nov 26 |
Reading week: work on Case Study II |
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WEEK 15 |
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Reading week: work on Case Study II |
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WEEK 16 |
Thur, Dec 9 | DELIVERABLES: |
Case Study II reports and evaluations due |
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