Events 2018

Propensity Score Analysis Research Methodology Workshop

Date: March 26-April 4, 2018
Location: Goldfarb Hall, Room 132, Washington University in St. Louis

​CSD Sponsored Workshop on “Propensity Score Analysis”, led by Shenyang Guo

Workshop Description

Propensity score analysis is a relatively new and innovative class of statistical methods that has proven useful for evaluating the effects of treatments or interventions when using nonexperimental or observational data.

This seminar will focus on three closely related but technically distinct propensity score methods:

  • Propensity score matching and related methods, including greedy matching, optimal matching, and propensity score weighting using Stata psmatch2, pweights and R optmatch
  • Matching estimators using Stata nnmatch
  • Propensity score analysis with nonparametric regression using Stata psmatch2 and lowess.

Workshop Outline

Monday, March 26, 2018

1.  Overview

2.  Conceptual Frameworks and Assumptions

Wednesday, March 28, 2018

3.  Propensity Score Matching and Related Models (Part I)

Thursday, March 29, 2018

4.  Propensity Score Matching and Related Models (Part II)

Monday, April 2, 2018

5.  Matching Estimators

6.  Kernel-based Matching Estimator

Wednesday, April 4, 2018

7.  Rosenbaum’s Sensitivity Analysis

8.  Debates and Directions of Future Development