🎯 🔀 Targeted Learning for Causal Mediation Analysis
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Updated
Jun 5, 2022 - R
🎯 🔀 Targeted Learning for Causal Mediation Analysis
Tool to extract causal relationships from biological and medical databases that are in tabular format
R code for causal graph animations
Guided Project on Essential Causal Inference Techniques in Data Science
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
An R package for causal sensitivity analysis methods
Reproducibility materials for "Cross-Screening in Observational Studies that Test Many Hypotheses" by Qingyuan Zhao, Dylan S. Small & Paul R. Rosenbaum
blopmatch: Matching Estimator based on a Bilevel Optimization Problem
Code/Data/Figure for "Nonparametric Instrumental Variable Estimator for Survival Outcomes"
Review: Data-driven methodology for detecting treatment effect heterogeneity
Experiments showing the profit efficiency of targeted randomized sampling in comparison to standard A/B testing
Parametric Bayesian Instrumental Variable Methods.
Learning Dynamic Treatment Regime (DTR) via meta-learners
R package for paper "Collaborative Causal Inference with a distributed data management"
Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
Replication code for "Estimating population average treatment effects from experiments with noncompliance"
R package for "my" PhD.
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