STATS 209: Statistical Methods for Group Comparisons and Causal Inference (EDUC 260A, HRP 239)
Description
Critical examination of statistical methods in social science and life sciences applications, especially for cause and effect determinations. 
Topics: mediating and moderating variables, potential outcomes framework, encouragement designs, multilevel models, heterogeneous treatment effects,
matching and propensity score methods, analysis of covariance, instrumental variables, compliance, path analysis and graphical models, 
group comparisons with longitudinal data. 
Prerequisite: intermediate-level statistical methods.
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit

2017-2018 Winter
STATS 209 | 3 units | Class # 28885 | Section 01 | Grading: Letter or Credit/No Credit | LEC | 
01/07/2019 - 03/15/2019 Wed, Fri 2:30 PM - 4:20 PM at Sequoia Hall 200 with Rogosa, D. (PI) 
Instructors: Rogosa, D. (PI)

Week 1. Course Introduction;  properties of regression models
Week 2. Experiments vs observational studies;  Neyman-Rubin-Holland formulation; encouragement designs;
Week 3. Path analysis and causal modeling, multiple regression with pictures. Graphical models.
Week 4. Multilevel data. Contextual effects, aggregation bias, mixed effects models
Week 5. The many uses and forms of analysis of covariance, including heterogeneous treatment effects and regression discontinuity designs
Week 6. Instrumental variable methods, simultaneous equations, reciprocal effects
Week 7. Compliance and experimental protocols;  intent to treat and compliance adjustments
Week 8. Matching and propensity score methods
Week 9. Time-1, Time-2 group comparisons for Experimental designs and Observational studies 
Dead Week. Overflow and course summary.