STAT 320: Design and Analysis of Causal Studies
Dr. Kari Lock Morgan and Dr. Fan Li
Spring 2014

Schedule Resources Description Office Hours

COURSE SCHEDULE (tentative)

Date Topic Reading Due
Introduction and Framework
W 1/8 Causality and Potential Outcomes (pptx)
Ch 1: 1.1 - 1.5

M 1/13 SUTVA, Assignment Mechanism (pptx)
Ch 1: 1.6 - 1.12

W 1/15 Assignment Mechanisms (pptx)
Ch 3

M 1/20 NO CLASS - Martin Luther King Day
Randomized Experiments
W 1/22
Randomized Experiments (pptx)
Ch 4
HW1 (sol), Quiz 1 (sol)
M 1/27 Inference: Fisher's Exact P-Values (pptx)
Ch 5

W 1/29
SNOW DAY - All Duke classes cancelled due to weather


M 2/3
Inference: Fisher's Exact P-Values in R (R code)
R Guide

W 2/5
Inference: Neyman's Repeated Sampling (pptx) (R code)
Ch 6

M 2/10
Using Covariates in Experiments: Design and Analysis (pptx)
Ch 7, (8), 9, 10 HW 2 (sol) (R)
W 2/12
SNOW DAY - All Duke classes cancelled due to weather


M 2/17
Rerandomization (pptx) Morgan and Rubin 2012
Quiz 2 (sol)
Observational Studies
W 2/19 Observational Studies and Propensity Scores (pptx) (R code)
Rubin 2007, Ch 12, 13

M 2/24 Subclassification (pptx) (R code)
Ch 16, 17
HW 3 (sol) (R)
W 2/26 Matching (pptx) (R template)
Ch 15, 18

M 3/3
SNOW DAY - All Duke classes cancelled due to weather


W 3/5Weighting (pptx)
Ch 19
HW 4 (sol) (R)
M 3/10 NO CLASS - Spring Break
W 3/12 NO CLASS - Spring Break
M 3/17 MIDTERM (sol)
W 3/19 Propensity Score for Multilevel Data
Li, Zaslavsky, Landrum (2013)
M 3/24 Propensity Score for Multilevel Data (R code)
Data posted on Sakai
W 3/26 Regression example, midterm recap, final project preview (pptx)
Quiz 3 (sol)
M 3/31 Assessing Assumptions and Sensitivity Analysis
Ch 20
Irregular Assignment Mechanisms
W 4/2 Instrumental Variables - part 1
Ch 23
M 4/7 Instrumental Variables - part 2
Ch 24
W 4/9 Interval Estimation of Causal Effects
HW 5
M 4/14 Principal Stratification
Suppl. Material
W 4/16 Principal Stratification
Suppl. Material Quiz 4 (sol)
Bayesian Inference
M 4/21 Bayesian causal inference - part 1
Suppl. Material
W 4/23 Bayesian causal inference - part 2
HW 6
Final Project (due Fri)