:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, Junhan, Chen, Yurui, Delgado-SanMartin, Juan, Wang, Dennis, Pan, Hong, Zhou, Doudou
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2605.15633
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Asymptotic Distribution-free Change-point Detection for Modern Data Based on a New Ranking Scheme
by: Zhou, Doudou, et al.
Published: (2022)

Generalized Independence Test for Modern Data
by: Liu, Mingshuo, et al.
Published: (2024)

Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population
by: Zhou, Doudou, et al.
Published: (2024)

Preference-based Centrality and Ranking in General Metric Spaces
by: Lyu, Lingfeng, et al.
Published: (2026)

Copula Based Fusion of Clinical and Genomic Machine Learning Risk Scores for Breast Cancer Risk Stratification
by: Aich, Agnideep, et al.
Published: (2025)

Prediction-Oriented Transfer Learning for Survival Analysis
by: Gu, Yu, et al.
Published: (2026)

A Trainable Centrality Framework for Modern Data
by: Vu, Minh Duc, et al.
Published: (2025)

Two-sample Testing with Block-wise Missingness in Multi-source Data
by: Zhang, Kejian, et al.
Published: (2025)

TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk
by: Yan, Mengying, et al.
Published: (2025)

MATES: Multi-view Aggregated Two-Sample Test
by: Cai, Zexi, et al.
Published: (2024)

Hierarchical Contrastive Learning for Multimodal Data
by: Li, Huichao, et al.
Published: (2026)

Stable Survival Extrapolation via Transfer Learning
by: Apsemidis, Anastasios, et al.
Published: (2024)

WISE: A Weighted Similarity Aggregation Test for Serial Independence
by: Zhu, Qihua, et al.
Published: (2025)

Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
by: Yin, Xiaohui, et al.
Published: (2026)

Counterfactual Slopes and Their Applications in Social Stratification
by: Yu, Ang, et al.
Published: (2024)

Improving Survival Models in Healthcare by Balancing Imbalanced Cohorts: A Novel Approach
by: Ning, Catherine, et al.
Published: (2025)

Stratification in Randomised Clinical Trials for Rare Diseases and Analysis of Covariance: Some Simple Theory and Recommendations
by: Senn, Stephen, et al.
Published: (2024)

Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
by: Zhang, Yuming, et al.
Published: (2026)

Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors
by: Weng, Jiaying, et al.
Published: (2023)

Inter and intraspecific variation on reproductive phenology of the Brazilian Atlantic forest Rubiaceae: ecology and phylogenetic constraints
by: Ivonne SanMartin-Gajardo
Published: (2003)

QuiXotismo contemporâneo ou o triunfo da vida
by: Cíntia SanMartin Fernandes
Published: (2007)

Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)

Model-X Change-Point Detection of Conditional Distribution
by: Dong, Zhuofan, et al.
Published: (2025)

Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
by: Xu, Mingyuan, et al.
Published: (2026)

Toward Valid Generative Clinical Trial Data with Survival Endpoints
by: Chassat, Perrine, et al.
Published: (2025)

Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
by: Guha, Subharup, et al.
Published: (2025)

Latent Factor Point Processes for Patient Representation in Electronic Health Records
by: Knight, Parker, et al.
Published: (2025)

Design of egocentric network-based studies to estimate causal effects under interference
by: Fang, Junhan, et al.
Published: (2023)

Bridging Stratification and Regression Adjustment: Batch-Adaptive Stratification with Post-Design Adjustment in Randomized Experiments
by: Li, Zikai
Published: (2025)

Accounting for Heavy Censoring in Evaluating the Risk Stratification Abilities of Existing Models for Time to Diagnosis of Huntington Disease
by: Grosser, Kyle F., et al.
Published: (2025)

Toxicity Monitoring Rule for a Two-Cohort Phase II Clinical Trial with Bivariate Beta Prior
by: Wang, Yu, et al.
Published: (2026)

Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
by: Zhou, Yidong, et al.
Published: (2023)

Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)

Conformal Survival Bands for Risk Screening under Right-Censoring
by: Sesia, Matteo, et al.
Published: (2025)

Measuring the Impact of New Risk Factors Within Survival Models
by: Heller, Glenn, et al.
Published: (2024)

Pseudo-Observations for Bivariate Survival Data
by: Travis-Lumer, Yael, et al.
Published: (2024)

Analysis of Broken Randomized Experiments by Principal Stratification
by: Liu, Qinqing, et al.
Published: (2024)

Fully Latent Principal Stratification With Measurement Models
by: Lee, Sooyong, et al.
Published: (2023)

Maximum-Variance-Reduction Stratification for Improved Subsampling
by: Wang, Dingyi, et al.
Published: (2026)

Sparse Variable Selection on High Dimensional Heterogeneous Data with Tree Structured Responses
by: Liu, Hui, et al.
Published: (2017)