:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yuyao, Ying, Andrew, Xu, Ronghui
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2411.18879
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Proximal Survival Analysis for Dependent Left Truncation
by: Wang, Yuyao, et al.
Published: (2025)

Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation
by: Wang, Yuyao, et al.
Published: (2022)

Incremental Causal Effect for Time to Treatment Initialization
by: Ying, Andrew, et al.
Published: (2024)

Efficient Inference for Incremental Causal Effects of Time to Treatment
by: Zhao, Zhichen, et al.
Published: (2026)

History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
by: Wang, Yuyao, et al.
Published: (2026)

Method of Winsorized Moments for Robust Fitting of Truncated and Censored Lognormal Distributions
by: Poudyal, Chudamani, et al.
Published: (2022)

Proximal Survival Analysis to Handle Dependent Right Censoring
by: Ying, Andrew
Published: (2022)

Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach
by: Matthews, Spencer, et al.
Published: (2025)

Robust Estimation of Loss Models for Truncated and Censored Severity Data
by: Poudyal, Chudamani, et al.
Published: (2022)

Estimation of Spectral Risk Measure for Left Truncated and Right Censored Data
by: Biswas, Suparna, et al.
Published: (2024)

Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
by: Hou, Jue, et al.
Published: (2019)

Goodness-of-Fit Tests for Censored and Truncated Data: Maximum Mean Discrepancy Over Regular Functionals
by: Escanciano, Juan Carlos, et al.
Published: (2026)

Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data
by: Zhao, Qian, et al.
Published: (2024)

Cumulative/Dynamic Time-Dependent ROC Analysis for Left-Truncated and Right-Censored Data: Estimators and Comparison
by: Li, Kendrick, et al.
Published: (2025)

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

Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations
by: Xu, Shenbo, et al.
Published: (2024)

Censoring-Aware Tree-Based Reinforcement Learning for Estimating Dynamic Treatment Regimes with Censored Outcomes
by: Paul, Animesh Kumar, et al.
Published: (2025)

Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)

A New Targeted-Federated Learning Framework for Estimating Heterogeneity of Treatment Effects: A Robust Framework with Applications in Aging Cohorts
by: Zhao, Rong, et al.
Published: (2025)

Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
by: Johari, Ramesh, et al.
Published: (2025)

Dynamic Treatment Effects under Functional Longitudinal Studies
by: Ying, Andrew
Published: (2024)

A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024)

Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
by: Park, Sihyung, et al.
Published: (2025)

Semiparametrically Efficient Score for the Survival Odds Ratio
by: Rava, Denise, et al.
Published: (2023)

The Complex Estimand of Clone-Censor-Weighting When Studying Treatment Initiation Windows
by: Webster-Clark, Michael, et al.
Published: (2024)

A Unified Spatiotemporal Framework for Modeling Censored and Missing Areal Responses
by: Ordoñez, Jose A., et al.
Published: (2025)

Multiply-robust Estimator of Cumulative Incidence Function Difference for Right-Censored Competing Risks Data
by: Tian, Yifei, et al.
Published: (2025)

Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
by: Liu, Hua, et al.
Published: (2025)

Meta-analysis of Censored Adverse Events
by: Qi, Xinyue, et al.
Published: (2021)

Multicategory Matched Learning for Estimating Optimal Individualized Treatment Rules in Observational Studies with Application to a Hepatocellular Carcinoma Study
by: Li, Xuqiao, et al.
Published: (2023)

On Flexible Inverse Probability of Treatment and Intensity Weighting: Informative Censoring, Variable Inclusion, and Weight Trimming
by: Tompkins, Grace, et al.
Published: (2024)

Shiny-MAGEC: A Bayesian R Shiny Application for Meta-analysis of Censored Adverse Events
by: Zhou, Zihan, et al.
Published: (2025)

Distribution Regression with Censored Selection
by: Fernandez-Val, Ivan, et al.
Published: (2025)

Spatial Interference Detection in Treatment Effect Model
by: Zhang, Wei, et al.
Published: (2024)

Semi-supervised Method for Risk Prediction with Doubly Censored EHR Data
by: Zhou, Jie, et al.
Published: (2026)

A Unified Framework for Density Estimation under Right-Censored Point-Centred Quarter Sampling
by: Huang, Wenzhe, et al.
Published: (2026)

Robust Bayesian Inference for Censored Survival Models
by: Hamura, Yasuyuki, et al.
Published: (2025)

Censored extreme value estimation
by: Bladt, Martin, et al.
Published: (2023)

R-Estimation with Right-Censored Data
by: Satten, Glen A., et al.
Published: (2026)

Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
by: Deng, Yuhao, et al.
Published: (2026)