R companion to Angrist Pischke Mostly Harmless econometrics
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Updated
Oct 4, 2015 - R
R companion to Angrist Pischke Mostly Harmless econometrics
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Quantifying the impact of a documentary on KeepCup search volume
Simple implementation for estimating causal effects with M-estimation and sandwich variance estimators
Code to accompany and provide results for "Causal Queries from Observational Data in Biological Systems with Bayesian Networks: An Empirical Study in Small Networks"
R/tstmle01: Estimation and Inference for Marginal Causal Effect with Single Binary Time Series
The Inductive Causation and IC* algorithms applied to a fake data set
Causal discovery from mixed data with missing values.
This is the replication of one R tutorial introduced in Machine Learning and Econometrics tutorial in AEA Annual Meeting 2018.
Inference in instrumental variables models robust to many instruments
The Pernicious Consequences of UN Security Council Membership
Reproducibility materials for "Cross-Screening in Observational Studies that Test Many Hypotheses" by Qingyuan Zhao, Dylan S. Small & Paul R. Rosenbaum
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
pgf: R implementation of the parametric g-formula
Propensity score assignment
Generates synthetic data to apply simulations for causal inference
R code for causal graph animations
Targeted Maximum Likelihood Estimation for Hierarchical Data
Demo calculator for HTEs in intensive BP therapy (Circulation: CQO 2019).
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