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14 search results found

Epidemiology analysis package

Varimpact ⭐ 54

Variable importance through targeted causal inference, with Alan Hubbard

Superlearner Guide ⭐ 35

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

Survtmle ⭐ 17

Targeted Learning for Survival Analysis

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.

Atlantic Causal 2017 ⭐ 8

Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition

R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data

Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions 💊

Tmleworkshop ⭐ 6

Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.

Estimation and Inference for Context-Specific Causal Average Treatment Effect and Optimal Individualized Treatment Effect with Single Time Series

Collaborative Targeted Maximum Likelihood Estimation

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Related Searches

Causal Inference Tmle (10)

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Propensity Scores Tmle (3)

Tmle Inverse Probability Weights (3)

Tmle G Computation (3)

Tmle Superlearner (3)

1-14 of 14 search results

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