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Longitudinal Targeted Maximum Likelihood Estimation package
Handles the bookkeeping for general TMLEs, allowing you to specify novel TMLEs as estimation and update functions.
tmleAb: Targeted maximum likelihood estimation for antibody data
R functions for project setup, data cleaning, parallelization, and targeted learning.
🔬 R/biotmle: A package for biomarker discovery combining targeted minimum loss-based estimation with empirical Bayes moderation
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
Targeted Maximum Likelihood Estimation for Network Data
TMLE with efficiency guarantees for randomized trials with ordinal outcomes
TMLE with efficiency guarantees for randomized trials with ordinal outcomes
Ensemble Learning Targeted Maximum Likelihood Estimation (Stata software implementation)
Updated
Sep 13, 2017
Stata
Ensemble Learning Targeted Maximum Likelihood for Stata users in Windows machines
Updated
Sep 13, 2017
Stata
Tests for trends in vaccine efficacy by genetic distance
Revised gentmle package to support different approaches
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
R/medltmle: Estimation for Natural Mediation Effect in Longitudinal Data
Collaborative Targeted Maximum Likelihood Estimation
📦 🔧 R/tmle3: Framework for Computing Targeted Maximum Likelihood Estimators for Causal/Statistical Inference
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