Streamline a data analysis process

📊 🌐 🧑‍🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

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Course Content for PSCI 3300 Political Science Research Methods

🎓 GSU MPA/MPP course on program evaluation and causal inference

A Brief Overview of Causal Inference (xaringan presentation)

Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science

Causal-inference oriented doctoral econometrics course at UO

Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.

Website and blog for the research group of Mark J. van der Laan

POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University

Learning graphical models, with a focus on causal models and learning from interventional data.

This R package is based on the work presented in A. Jérolon et al., "Causal mediation analysis in presence of multiple mediators uncausally related".The work allowing multiple mediation analyzes with a survival outcome was largely developed with Arce Domingo. This work is presented in Domingo-Relloso et al., "Causal mediation for uncausally relate

This repo contains the public directory which is the blog

Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/

Reproducible reporting workflows for the immune correlates statistical analyses of the Moderna and Janssen COVID-19 vaccine efficacy trials by the USG/COVE Response Biostatistics Team [Archived 16 October 2021]

Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods

This is the website repository for the Stata packages lassopack & pdslasso. Please visit:

Tutorials illustrating the use of baseline information to conduct more efficient randomized trials

Bilibili vtuber causal inference