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Bibliographic Details
Main Authors:	Li, Haodong, Hubbard, Alan E, Hines, Oliver J, Storås, Andrea M, Kvist, Kajsa, van der Laan, Mark
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2309.13324
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Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning
by: McCoy, David, et al.
Published: (2023)

Data-Adaptive Identification of Effect Modifiers through Stochastic Shift Interventions and Cross-Validated Targeted Learning
by: McCoy, David, et al.
Published: (2024)

Constructing Confidence Intervals for Infinite-Dimensional Functional Parameters by Highly Adaptive Lasso
by: Zhang, Wenxin, et al.
Published: (2025)

HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
by: Shi, Junming, et al.
Published: (2024)

Investigating Targeting Strategies and Truncation in TMLE for the Average Treatment Effect under Practical Positivity Violations
by: Xu, Yichen, et al.
Published: (2026)

Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
by: Dang, Lauren Eyler, et al.
Published: (2022)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)

Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
by: van der Laan, Mark, et al.
Published: (2025)

Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions
by: McCoy, David B., et al.
Published: (2023)

Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)

Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data
by: van der Laan, Mark, et al.
Published: (2024)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)

Targeting relative risk heterogeneity with causal forests
by: Shirvaikar, Vik, et al.
Published: (2023)

Score-Preserving Targeted Maximum Likelihood Estimation
by: Pimentel, Noel, et al.
Published: (2025)

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
by: Li, Yi, et al.
Published: (2025)

An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2024)

Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
by: van der Laan, Lars, et al.
Published: (2025)

Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2025)

Targeted Learning for Variable Importance
by: Wang, Xiaohan, et al.
Published: (2024)

Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
by: Morzywolek, Pawel, et al.
Published: (2025)

Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
by: Landsiedel, Kirsten E., et al.
Published: (2025)

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
by: Shirakawa, Toru, et al.
Published: (2024)

Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)

Measuring Variable Importance via Accumulated Local Effects
by: Zhu, Jingyu, et al.
Published: (2025)

Causal inference for calibrated scaling interventions on time-to-event processes
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)

Variable importance measures for heterogeneous treatment effects
by: Hines, Oliver J., et al.
Published: (2022)

Calibeating Prediction-Powered Inference
by: van der Laan, Lars, et al.
Published: (2026)

[Invited Discussion] Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
by: Phillips, Rachael V., et al.
Published: (2024)

Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
by: Rytgaard, Helene C. W., et al.
Published: (2024)

Super Ensemble Learning Using the Highly-Adaptive-Lasso
by: Wang, Zeyi, et al.
Published: (2023)

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
by: Kacprzyk, Krzysztof, et al.
Published: (2024)

Powering RCTs for marginal effects with GLMs using prognostic score adjustment
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)

Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems
by: Qiu, Sky, et al.
Published: (2026)

Automatic debiasing of neural networks via moment-constrained learning
by: Hines, Christian L., et al.
Published: (2024)

Robust Inference for Mediated Effects in Partially Linear Models
by: Hines, Oliver, et al.
Published: (2020)

Semiparametric logistic regression for inference on relative vaccine efficacy in case-only studies with informative missingness
by: van der Laan, Lars, et al.
Published: (2023)

An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
by: Qiu, Sky, et al.
Published: (2025)

HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
by: Hou, Yilong, et al.
Published: (2026)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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