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