Imagen de Portada

The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-Data Applications

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Nance, Nerissa, Petersen, Maya L., van der Laan, Mark, Balzer, Laura B.
Formato:	Preprint
Publicado:	2023
Materias:	Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE
por: Qiu, Sky, et al.
Publicado: (2026)

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
por: Balzer, Laura B., et al.
Publicado: (2025)

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

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

Considerations for the Integration of Randomized Controlled Trials and Real-World Data
por: Qiu, Sky, et al.
Publicado: (2026)

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

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

Targeted Learning Estimation of Sampling Variance for Improved Inference
por: Ji, Yunwen, et al.
Publicado: (2025)

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

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

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

When exposure affects subgroup membership: Framing relevant causal questions in perinatal epidemiology and beyond
por: Gupta, Shalika, et al.
Publicado: (2024)

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

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

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

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
por: van der Laan, Lars, et al.
Publicado: (2025)

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

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

Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
por: Xu, Yichen, et al.
Publicado: (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
por: Phillips, Rachael V., et al.
Publicado: (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
por: Rytgaard, Helene C. W., et al.
Publicado: (2024)

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

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

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

Higher-Order Efficient Estimators: A Review and Simulation-Based Benchmark Study
por: Wang, Zeyi, et al.
Publicado: (2026)

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

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

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

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

Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning
por: McCoy, David, et al.
Publicado: (2023)

Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions
por: Boileau, Philippe, et al.
Publicado: (2021)

Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
por: Boileau, Philippe, et al.
Publicado: (2026)

Large Language Models as Co-Pilots for Causal Inference in Medical Studies
por: Alaa, Ahmed, et al.
Publicado: (2024)

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

A Surrogate Endpoint Based Provisional Approval Causal Roadmap
por: Gilbert, Peter B., et al.
Publicado: (2024)

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

A nonparametric framework for treatment effect modifier discovery in high dimensions
por: Boileau, Philippe, et al.
Publicado: (2023)

An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Covariate-Adjustment and Outcome Prediction using Electronic Health Record Data
por: Williamson, Brian D, et al.
Publicado: (2023)

Self-Calibrating Conformal Prediction
por: van der Laan, Lars, et al.
Publicado: (2024)

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