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 3/5 | Weighting (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)
|