Welcome to STA610

Class Meetings

  Old Chem 116

  MWF 1:45 - 3:00pm (Fridays are lab sessions taught by TAs)

Teaching team and office hours

Note: office hours may vary due to travel and other commitments. Revisions to office hours will be noted via e-mail and on my office door.

Team member Office hours Location
Professor David Dunson   M/W 3-3:30pm 218 Old Chemistry
TA Patrick LeBlanc   Tuesday 1-3pm 203B Old Chemistry
TA Zhuoqun (Carol) Wang   Thursday 3:30-5pm 203B Old Chemistry
TA Shounak Chattapadhyay   Wednesday 12-1:30pm 203B Old Chemistry

Materials

You should have access to a laptop and bring it to every class, fully charged. Texts and readings will be assigned as needed. The instructor and TA’s will support computation in R/RStudio.

Helpful resource materials for the course include the following.

Topics and Important Dates

STA 610 contain a mixture of lecture and lab sessions. Mini-assessments will be provided in lab to check mastery and identify areas for additional focus.

Note: this schedule is approximate and is likely to be modified as the course progresses. Assignments are due at the beginning of class unless otherwise specified.

Date Topic Deliverables
August 29 Welcome and Introductions ANOVA warm-up (in class)
August 31 One Way ANOVA: Scalar and Matrix Formulations
September 2 Lab: Hands-on with ANOVA
September 5 MLE’s, Contrasts, Coding Schemes, and Interaction Scientific Writing: ANOVA Results (in class)
September 7 Random Effects ANOVA
September 9 ANOVA Lab #2 Assignment 1 (ANOVA) Due
September 12 Random Effects ANOVA (continued)
September 14 Bayesian Estimation
September 16 Lab: Gibbs Sampling
September 19 Bayesian Estimation (continued)
September 21 Random Effects ANCOVA
September 23 Lab: Visualizing Estimates Assignment 2 (ANOVA) Due
September 26 Higher Level Multi-Level Models and Case Study 1 Introduction
September 28 Linear Mixed Effects Models - Intro
September 30 Lab: Case Study 1
October 3 Exam 1 (in class) Exam 1 (in class)
October 5 Linear Mixed Effects Models - Continued
October 7 Lab: Help, I’m Behind! Hands-on Analysis and Q&A Case Study 1 Write-up Due
October 10 Fall break
October 12 Diagnostics and Influence Measures
October 14 Lab: Longitudinal Data
October 17 Bayesian Linear Mixed Effects Model for Longitudinal Data
October 19 Generalized Linear Mixed Effects Models (GLMMs)
October 21 Lab: Implementing Bayesian GLMMs in R-Stan Assignment 3 (GLMM) Due
October 24 GLMMs - continued
October 26 Some applications and extensions of GLMMs
October 28 Lab: Hierarchical Centering
October 31 Crossed/Non-Nested Random Effects, Case Study 2 Introduction
November 2 Application: Election Prediction
November 4 Lab: Who Votes? Assignment 4 (GLMM) Due
November 7 Measurement Error
November 9 Missing Data
November 11 Lab: Missing data exercise
November 14 Kernels/splines and inducing non-linearity
November 16 Application: Meta Analysis
November 18 Lab: Capturing non-linearities
November 21 Multilevel Categorical Outcomes Case Study 2 Write-up Due
November 23 Thanksgiving break
November 25 Thanksgiving break
November 28 Exam Review
November 30 Exam 2 (in class) Exam 2 (in class)
December 2 Lab: Make up day + misc help