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03/13/2023
Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review
The Targeted Maximum Likelihood Estimation (TMLE) statistical data analy...
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01/27/2023
Multi-task Highly Adaptive Lasso
We propose a novel, fully nonparametric approach for the multi-task lear...
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08/15/2022
Evaluating and improving real-world evidence with Targeted Learning
Purpose: The Targeted Learning roadmap provides a systematic guide for g...
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05/17/2022
Targeted learning: Towards a future informed by real-world evidence
The 21st Century Cures Act of 2016 includes a provision for the U.S. Foo...
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04/13/2022
Practical considerations for specifying a super learner
Common tasks encountered in epidemiology, including disease incidence es...
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09/28/2021
Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials
Several recently developed methods have the potential to harness machine...
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09/21/2021
Personalized Online Machine Learning
In this work, we introduce the Personalized Online Super Learner (POSL) ...
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06/12/2020
