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Mark van der Laan

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Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data

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May 12, 2024
Mark van der Laan, Sky Qiu, Lars van der Laan

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Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer

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Apr 05, 2024
Toru Shirakawa, Yi Li, Yulun Wu, Sky Qiu, Yuxuan Li, Mingduo Zhao, Hiroyasu Iso, Mark van der Laan

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Conformal Meta-learners for Predictive Inference of Individual Treatment Effects

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Aug 28, 2023
Ahmed Alaa, Zaid Ahmad, Mark van der Laan

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Adaptive debiased machine learning using data-driven model selection techniques

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Jul 24, 2023
Lars van der Laan, Marco Carone, Alex Luedtke, Mark van der Laan

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The Selectively Adaptive Lasso

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May 22, 2022
Alejandro Schuler, Mark van der Laan

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Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials

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Jun 29, 2021
Laura B. Balzer, Mark van der Laan, James Ayieko, Moses Kamya, Gabriel Chamie, Joshua Schwab, Diane V. Havlir, Maya L. Petersen

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Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning

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Jun 03, 2021
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark van der Laan

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Post-Contextual-Bandit Inference

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Jun 01, 2021
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark van der Laan

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Estimation of population size based on capture recapture designs and evaluation of the estimation reliability

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May 12, 2021
Yue You, Mark van der Laan, Philip Collender, Qu Cheng, Alan Hubbard, Nicholas P Jewell, Zhiyue Tom Hu, Robin Mejia, Justin Remais

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