Buchumschlag

Privacy-preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Yao, Leon, Li, Paul Yiming, Lu, Jiannan
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Methodology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Tail-Calibrated Estimation of Extreme Quantile Treatment Effects
von: Li, Mengran, et al.
Veröffentlicht: (2026)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
von: Oka, Tatsushi, et al.
Veröffentlicht: (2024)

Harmonized Estimation of Subgroup-Specific Treatment Effects in Randomized Trials: The Use of External Control Data
von: Schwartz, Daniel, et al.
Veröffentlicht: (2023)

Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects
von: Shoji, Takehiro, et al.
Veröffentlicht: (2024)

Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
von: Yang, Qinwei, et al.
Veröffentlicht: (2026)

Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials
von: Berk, Richard A., et al.
Veröffentlicht: (2018)

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
von: Qiu, Zhixin, et al.
Veröffentlicht: (2025)

Quantile Fourier Transform, Quantile Series, and Nonparametric Estimation of Quantile Spectra
von: Li, Ta-Hsin
Veröffentlicht: (2022)

Robust Mendelian Randomization Estimation using Weighted Quantile Regression
von: St-Pierre, Julien, et al.
Veröffentlicht: (2026)

Nested Sensitivity Envelopes for Transported Quantile Treatment Effects
von: Wang, Pengyun
Veröffentlicht: (2026)

Unbiased Regression-Adjusted Estimation of Average Treatment Effects in Randomized Controlled Trials
von: Abadie, Alberto, et al.
Veröffentlicht: (2025)

Causal Quantile Treatment Effects with missing data by double-sampling
von: Sun, Shuo, et al.
Veröffentlicht: (2023)

Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
von: Yang, Youqi, et al.
Veröffentlicht: (2026)

Quantile-Crossing Spectrum and Spline Autoregression Estimation
von: Li, Ta-Hsin
Veröffentlicht: (2024)

Spline Autoregression Method for Estimation of Quantile Spectrum
von: Li, Ta-Hsin
Veröffentlicht: (2024)

On Quantile Treatment Effects, Rank Similarity,and Variation of Instrumental Variables
von: Han, Sukjin, et al.
Veröffentlicht: (2025)

Mixture Quantiles Estimated by Constrained Linear Regression
von: Peng, Cheng, et al.
Veröffentlicht: (2023)

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

Intra-Class Correlation Coefficient Ignorable Clustered Randomized Trials for Detecting Treatment Effect Heterogeneity
von: Yang, Chen, et al.
Veröffentlicht: (2025)

Inference for Cumulative Incidences and Treatment Effects in Randomized Controlled Trials with Time-to-Event Outcomes under ICH E9 (R1)
von: Deng, Yuhao, et al.
Veröffentlicht: (2024)

Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials
von: Qian, Tianchen
Veröffentlicht: (2025)

Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
von: Lin, Jeremy, et al.
Veröffentlicht: (2025)

Complier General Causal Effect in Randomized Controlled Trials with One-Sided Noncompliance
von: Tang, Yin, et al.
Veröffentlicht: (2025)

Efficient Transported Distributional and Quantile Treatment Effects with Surrogate-Assisted Missing Primary Outcomes
von: Wang, Pengyun
Veröffentlicht: (2026)

Non-collapsibility and Built-in Selection Bias of Hazard Ratio in Randomized Controlled Trials
von: Bian, Helen, et al.
Veröffentlicht: (2024)

Integrating Randomized Controlled Trial and External Control Data Using Balancing Weights: A Comparison of Estimands and Estimators
von: Wang, Peijin, et al.
Veröffentlicht: (2025)

Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
von: Yao, Dong, et al.
Veröffentlicht: (2024)

Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
von: Gao, Jiacan, et al.
Veröffentlicht: (2026)

Negative Control Outcome Adjustment in Early-Phase Randomized Trials: Estimating Vaccine Effects on Immune Responses in HIV Exposed Uninfected Infants
von: Ashby, Ethan, et al.
Veröffentlicht: (2024)

Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
von: Yang, Qinwei, et al.
Veröffentlicht: (2025)

Extreme Quantile Treatment Effects under Endogeneity: Evaluating Policy Effects for the Most Vulnerable Individuals
von: Sasaki, Yuya, et al.
Veröffentlicht: (2024)

Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes
von: Yu, Jiaxin, et al.
Veröffentlicht: (2024)

On Anticipation Effect in Stepped Wedge Cluster Randomized Trials
von: Wang, Hao, et al.
Veröffentlicht: (2025)

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

Identifying Treatment Effect Heterogeneity with Bayesian Hierarchical Adjustable Random Partition in Adaptive Enrichment Trials
von: Zhao, Xianglin, et al.
Veröffentlicht: (2025)

Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
von: Li, Changjun, et al.
Veröffentlicht: (2025)

Multidimensional Stochastic Dominance Test Based on Center-outward Quantiles
von: Ma, Yiming, et al.
Veröffentlicht: (2025)

Global Censored Quantile Random Forest
von: Zhou, Siyu, et al.
Veröffentlicht: (2024)

Smoothed Quantile Estimation via Interpolation to the Mean
von: Maanan, Saïd, et al.
Veröffentlicht: (2025)

Global Average Treatment Effects for Individualized Randomization Experiments with Aggregate Data
von: Yu, Shuguang, et al.
Veröffentlicht: (2026)