Image de couverture de livre

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Xiudi, Li, Sijia
Format:	Preprint
Publié:	2025
Sujets:	Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
par: Li, Xiudi, et autres
Publié: (2025)

Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes
par: Farina, Rebecca, et autres
Publié: (2025)

Boosting Distributional Copula Regression for Bivariate Right-Censored Time-to-Event Data
par: Briseno-Sanchez, Guillermo, et autres
Publié: (2024)

R-Estimation with Right-Censored Data
par: Satten, Glen A., et autres
Publié: (2026)

History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
par: Wang, Yuyao, et autres
Publié: (2026)

Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
par: Bu, Qiushi, et autres
Publié: (2025)

Cumulative/Dynamic Time-Dependent ROC Analysis for Left-Truncated and Right-Censored Data: Estimators and Comparison
par: Li, Kendrick, et autres
Publié: (2025)

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
par: Ying, Chao, et autres
Publié: (2025)

Post-Selection Inference for the Cox Model with Interval-Censored Data
par: Zhang, Jianrui, et autres
Publié: (2023)

Finite Mixture Cox Model for Heterogeneous Time-dependent Right-Censored Data
par: Talafha, Ahmad
Publié: (2025)

Two-Stage Least Squares Instrumental Variable Estimation for Semiparametric Accelerated Failure Time Models with Right-Censored Data
par: Zhuang, Zian, et autres
Publié: (2025)

Robust Estimation under Outcome Dependent Right Censoring in Huntington Disease: Estimators for Low and High Censoring Rates
par: Vazquez, Jesus E., et autres
Publié: (2025)

Efficient Estimation Under Data Fusion
par: Li, Sijia, et autres
Publié: (2021)

Sampling-based federated inference for M-estimators with non-smooth objective functions
par: Li, Xiudi, et autres
Publié: (2025)

A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
par: Cui, Elvis Han, et autres
Publié: (2025)

Training-Set Conditionally Valid Prediction Sets with Right-Censored Data
par: Si, Wenwen, et autres
Publié: (2025)

Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
par: Kim, Sehwan, et autres
Publié: (2025)

Doubly Robust Conformalized Survival Analysis with Right-Censored Data
par: Sesia, Matteo, et autres
Publié: (2024)

Benchmarking Observational Studies with Experimental Data under Right-Censoring
par: Demirel, Ilker, et autres
Publié: (2024)

Cox Model Predicting Covariate Subject to Right Censoring
par: Lin, Chen-Yen, et autres
Publié: (2026)

Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach
par: Matthews, Spencer, et autres
Publié: (2025)

Estimation of High-Dimensional Markov-Switching VAR Models with an Approximate EM Algorithm
par: Li, Xiudi, et autres
Publié: (2022)

Deep Partially Linear Transformation Model for Right-Censored Survival Data
par: Yin, Junkai, et autres
Publié: (2024)

Estimation of Spectral Risk Measure for Left Truncated and Right Censored Data
par: Biswas, Suparna, et autres
Publié: (2024)

SID: A Novel Class of Nonparametric Tests of Independence for Censored Outcomes
par: Li, Jinhong, et autres
Publié: (2024)

Meta-analysis of Censored Adverse Events
par: Qi, Xinyue, et autres
Publié: (2021)

Multiply-robust Estimator of Cumulative Incidence Function Difference for Right-Censored Competing Risks Data
par: Tian, Yifei, et autres
Publié: (2025)

Conformal Survival Bands for Risk Screening under Right-Censoring
par: Sesia, Matteo, et autres
Publié: (2025)

Robust Bayesian Inference for Censored Survival Models
par: Hamura, Yasuyuki, et autres
Publié: (2025)

Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
par: Deng, Yuhao, et autres
Publié: (2026)

Efficient collaborative learning of the average treatment effect
par: Li, Sijia, et autres
Publié: (2024)

Multicalibration for Modeling Censored Survival Data with Universal Adaptability
par: Ye, Hanxuan, et autres
Publié: (2024)

Efficient Inference for Noisy LLM-as-a-Judge Evaluation
par: Chen, Yiqun T, et autres
Publié: (2026)

Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
par: Vazquez, Jesus E., et autres
Publié: (2024)

Proximal Survival Analysis to Handle Dependent Right Censoring
par: Ying, Andrew
Publié: (2022)

Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data
par: Zhao, Qian, et autres
Publié: (2024)

Novel Subsampling Strategies for Heavily Censored Reliability Data
par: Ruan, Yixiao, et autres
Publié: (2024)

Conditional-Marginal Nonparametric Estimation for Stage Waiting Times from Multi-Stage Models under Dependent Right Censoring
par: Zhang, Xiaoxi, et autres
Publié: (2025)

A Bayesian Joint Modelling of Current Status and Current Count Data
par: Hariharan, Pavithra, et autres
Publié: (2024)

Machine Learning for Two-Sample Testing under Right-Censored Data: A Simulation Study
par: Philonenko, Petr, et autres
Publié: (2024)