CausalLift: Python package for causality-based Uplift Modeling in real-world business
WeightIt: an R package for propensity score weighting
Covariate Balance Tables and Plots - An R package for assessing covariate balance
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
R package for estimating balancing weights using optimization
Rolling Entry Matching R Package
R package for fast and easy doubly robust estimation of treatments effects
Simulation scripts for matching weights in three-group studies (Epidemiology 2017)
Machine Learning (Python)
IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)
A list of resources to learn programming in SAS
Tutorials illustrating the use of baseline information to conduct more efficient randomized trials
Lecture slides, video recordings, and coding exercises from the 2024 Northwestern University Causal Inference Workshop. This repository is not affiliated with Northwestern University or the workshop.
TI Methods Speaker Series in collaboration with the Student and Recent Graduate Committee (SARGC) of the Statistical Society of Canada.
use datasets of Cattaneo (2010) to perform PSM in stata
In this project, the causal effect of working overtime on attrition for a sample of IBM employees has been analyzed
Inverse probability weighting for non-binary exposures. Simple example in Excel and SAS.
Analysis of Airbnb Pricing in New York City
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