Articles • CausalInvestData

Getting Started

Introduction to CausalInvestData

Causal Methods

Causal Inference Methods Overview
Difference-in-Differences (DiD): Simulated Example
Propensity Score Weighting (PSW) for Causal Inference
Front-door Criterion: Explaining Causal Paths Through Mediators
Instrumental Variables with Simulated Data
Double Machine Learning (DML) for Causal Inference
Natural Experiments and Quasi-Random Variation
Causal Impact Analysis

Advanced Topics

Bayesian Causal Forests (BCF) for Heterogeneous Treatment Effects
Causal Discovery with DAGitty and Simulated Data
Simulating Causal Data: A Step-by-Step Guide
Sensitivity Analysis: How Robust Is Your Causal Inference?
DAGs and Assumptions in Causal Inference

Diagnostics & Visuals

Covariate Balance Diagnostics in Causal Inference
Dataset Visualizations