Additional Resources

CNODES Lectures & Seminars on Propensity Scores

Malcolm Maclure: Confounding Products and Propensity Score Matching: Pictorial Explanations of Epidemiological Methods

Colin Dormuth: Propensity Scores: Only You Can Control Confounding

Jeremy Rassen: Advanced Topics in Propensity Scores – Part I and Part II

Robert Platt: Propensity Scores – State of the Art and Some Open Questions

Rishi Desai: Alternative Approaches for Confounding Adjustment in Observational Studies using Weighting Based on the Propensity Score

Reading

Analysis of Observational Health Care Data using SAS (see Part 2, beginning on pg. 23)

Courses & programs

University of Pittsburgh, Dept of Biomedical Informatics: An Online Self-guided Course in Propensity Score-Based Methods for Causal Inference. This course describes potential outcomes as a framework to describe causal effects, and describes the use of propensity score-based methods for evaluating causal relationships, including the corresponding interpretation and assumptions.

University of Pennsylvania (via Coursera): A Crash Course in Causality: Inferring Causal Effects from Observational Data
We have all heard the phrase “correlation does not equal causation.” What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Learners will have the opportunity to apply these methods to example data in R (free statistical software environment).

Statistical Horizons: Propensity Score Analysis (uses STATA)
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.

Quantfish: Propensity Score Methods with R
In this self-paced online workshop, Dr. Donna Coffman provides step-by-step instructions on propensity score estimation in R