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debiased-machine-learning

Here are 4 public repositories matching this topic...

dscolby / CausalELM.jl

Taking causal inference to the extreme!

sensitivity-analysis causal-inference extreme-learning-machine nonparametric-model r-learning metalearning observational-studies g-computation quasi-experimental causal-machine-learning interrupted-time-series assumption-check double-machine-learning x-learner s-learner t-learner doubly-robust debiased-machine-learning metalearner

Updated Nov 6, 2024
Julia

carloscinelli / dml.sensemakr

Sensitivity analysis tools for causal ML

machine-learning r r-package sensitivity-analysis causal-inference double-machine-learning debiased-machine-learning

Updated May 28, 2024
R

Larsvanderlaan / CDML

CDML: Automatic doubly robust inference for linear functionals via calibrated debiased machine learning

calibration targeted-learning causal-inference aipw double-robust debiased-machine-learning doubly-robust-inference

Updated Nov 8, 2024
HTML

Larsvanderlaan / spCaseOnlyVE

Semiparametric inference for relative heterogeneous vaccine efficacy between strains in observational case-only studies

tmle confounding logistic-regression missing-data odds-ratio targeted-learning conditional heterogeneous semiparametric vaccine-efficacy debiased-machine-learning partially-linear

Updated Mar 25, 2023
R

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