/ipw_acic2022

Introductory Workshop for Using Propensity Score Weights When Drawing Causal Inferences

Primary LanguageR

ipw_acic2022

Introductory Workshop for Using Propensity Score Weights When Drawing Causal Inferences

Goals

To increase your understanding of:

  • How to define and estimate causal effects
  • How to use propensity scores when estimating causal effects
  • How to assess the validity of key assumptions

To provide step-by-step instructions for using propensity score weights for binary treatment settings

Schedule

Approximate Schedule

  • 1:00 - 2:00 PM : Introduction to propensity scores
  • 2:00 - 2:05 PM : Break
  • 2:05 - 3:05 PM : Propensity Score Estimation Techniques
  • 3:05 - 3:10 PM : Break
  • 3:10 - 4:00 PM : Additional topics

Slide location

Slides are here

Packages you may want to explore

  • library(twang) - Toolkit for the weighting and analysis on nonequivalent groups
  • library(CBPS) - Covariate Balancing Propensity Score
  • library(ebal) - Hainmeuller's Entropy Balancing Package
  • library(entbal) - Vegetabile's Entropy Balancing Package
  • library(survey) - Survey package for weighted outcome estimation with correct standard errors
  • library(cobalt) - Covariate Balance Tables and Plots
  • library(viridis) - Useful Color Palette
  • library(OVtool) - Sensitivity Analysis for twang