Streamline a data analysis process

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

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]

가짜연구소 인과추론팀 블로그입니다!

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

A Brief Overview of Causal Inference (xaringan presentation)

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.

Course Content for PSCI 3300 Political Science Research Methods

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

This repository is designed to document and explain in-detailed analysis of data, from concepts like mining or transforming to predictive analytics.

Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models

Machine Learning for Economists

This repo contains the public directory which is the blog

Replication files for the MA Thesis submitted to Central European University in a.y. 2019/2020

This repository will contain the code for generating (Java) and analysing (R programming language) a simple multi-Agent Based Model (mABM) of patients in a 2D continuous space. The idea is to simulate (i) causal diagrams for interference, (ii) ABMs, and the contagion of a disease thought a social network.

CIBER is a causal inference framework for cell fate analysis

Repository containing materials for the ODISSEI workshop on causal impact assessment

Material for the Moral Dynamics project -- a computational model of moral judgment by Felix Sosa, Tomer Ullman, Josh Tenenbaum, Sam Gershman, and Tobias Gerstenberg. A standing manuscript can be found here: www.mit.edu/~fsosa/papers/md.pdf