Implementing TMLE in the Presence of a Continuous Outcome

☂️📦 One Stop for Targeted Learning in R

TMLE Kernel Methods for Non-Pathwise-Differenetiable Parameters

Ensemble Learning Targeted Maximum Likelihood for Stata users in Windows machines

Targeted MLE with known asymptotic distribution for estimation of survival probabilities from right censored data

🎯 🎲 Targeted Learning and Variable Importance for the Causal Effects of Stochastic Interventions

Targeted Learning for Survival Analysis

Reproduce the simulations in Cai W, van der Laan MJ (2019+). One-step TMLE for time-to-event outcomes.

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

Tests for trends in vaccine efficacy by genetic distance

Revised gentmle package to support different approaches

🔬 R/biotmle: A package for biomarker discovery combining targeted minimum loss-based estimation with empirical Bayes moderation

Ensemble Learning Targeted Maximum Likelihood for Stata users

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

Ensemble Learning Targeted Maximum Likelihood Estimation (Stata software implementation)

(Model One-Step Survival): one-step TMLE for survival curve

TMLE with efficiency guarantees for randomized trials with ordinal outcomes

Longitudinal Targeted Maximum Likelihood Estimation package

tmleAb: Targeted maximum likelihood estimation for antibody data

📦 🔧 R/tmle3: Framework for Computing Targeted Maximum Likelihood Estimators for Causal/Statistical Inference