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

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.

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

Collaborative Targeted Maximum Likelihood Estimation

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

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