Saved in:
| Main Authors: | Zhao, Yinjun, Wang, Yuanjia, LIu, Ying |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.04816 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-level Latent Variable Models for Coheritability Analysis in Electronic Health Records
by: Zhao, Yinjun, et al.
Published: (2025)
by: Zhao, Yinjun, et al.
Published: (2025)
Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025)
by: Guo, Xingche, et al.
Published: (2025)
Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
by: Deng, Yuhao, et al.
Published: (2026)
by: Deng, Yuhao, et al.
Published: (2026)
Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)
by: Gao, Daiqi, et al.
Published: (2024)
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)
by: Guo, Xingche, et al.
Published: (2024)
Shared hidden-factor information framework for multiple behavioral tasks
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
Joint modeling for learning decision-making dynamics in behavioral experiments
by: Bian, Yuan, et al.
Published: (2025)
by: Bian, Yuan, et al.
Published: (2025)
Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data
by: Guo, Xingche, et al.
Published: (2023)
by: Guo, Xingche, et al.
Published: (2023)
Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls
by: Liu, Mochuan, et al.
Published: (2022)
by: Liu, Mochuan, et al.
Published: (2022)
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
by: Xu, Tianchen, et al.
Published: (2023)
by: Xu, Tianchen, et al.
Published: (2023)
Maximin Learning of Individualized Treatment Effect on Multi-Domain Outcomes
by: Lu, Yuying, et al.
Published: (2026)
by: Lu, Yuying, et al.
Published: (2026)
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
by: Brantner, Carly L., et al.
Published: (2025)
by: Brantner, Carly L., et al.
Published: (2025)
Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
by: Cai, Zexi, et al.
Published: (2024)
by: Cai, Zexi, et al.
Published: (2024)
A Novel Approach for Data Integration with Multiple Heterogeneous Data Sources
by: Shamsi, Farimah, et al.
Published: (2025)
by: Shamsi, Farimah, et al.
Published: (2025)
Discriminating BCC Subtypes Using Entropy and Mutual Information from Dermoscopic Features
by: Matas, Iván, et al.
Published: (2025)
by: Matas, Iván, et al.
Published: (2025)
Subtype-Aware Registration of Longitudinal Electronic Health Records
by: Gai, Xin, et al.
Published: (2025)
by: Gai, Xin, et al.
Published: (2025)
A Null Model for Mapper Subtype Claims
by: Topaz, Chad M.
Published: (2026)
by: Topaz, Chad M.
Published: (2026)
Integrating Multiple Data Sources with Interactions in Multi-Omics Using Cooperative Learning
by: D'Alessandro, Matteo, et al.
Published: (2024)
by: D'Alessandro, Matteo, et al.
Published: (2024)
Integrating Randomized Controlled Trial and External Control Data Using Balancing Weights: A Comparison of Estimands and Estimators
by: Wang, Peijin, et al.
Published: (2025)
by: Wang, Peijin, et al.
Published: (2025)
A Data-Adaptive Factor Model Using Composite Quantile Approach
by: Park, Seeun, et al.
Published: (2025)
by: Park, Seeun, et al.
Published: (2025)
A Review of Statistical Methods for Handling Nonignorable Missing Data using Instrument Approach
by: Zhao, Yujie
Published: (2025)
by: Zhao, Yujie
Published: (2025)
Bayesian Event-Based Model for Disease Subtype and Stage Inference
by: Hao, Hongtao, et al.
Published: (2025)
by: Hao, Hongtao, et al.
Published: (2025)
Improved Small Area Inference from Data Integration Using Global-Local Priors
by: Cahoy, D, et al.
Published: (2024)
by: Cahoy, D, et al.
Published: (2024)
Data-Adaptive Integration With Summary Data
by: Morikawa, Kosuke, et al.
Published: (2025)
by: Morikawa, Kosuke, et al.
Published: (2025)
Nonparametric Density Estimation for Data Scattered on Irregular Spatial Domains: A Likelihood-Based Approach Using Bivariate Penalized Spline Smoothing
by: Das, Kunal, et al.
Published: (2024)
by: Das, Kunal, et al.
Published: (2024)
Identifying Genetic Variants for Obesity: A Knowledge Integration Quantile Regression (KIQR) Approach for Ultra-High-Dimensional Data
by: Wang, Jiantong, et al.
Published: (2024)
by: Wang, Jiantong, et al.
Published: (2024)
Integrative Predictor-Dependent Learning of Network Data and Spatially Correlated Nodal Attributes for Multimodal Brain Imaging in Aging
by: Rodriguez-Acosta, Jose, et al.
Published: (2026)
by: Rodriguez-Acosta, Jose, et al.
Published: (2026)
Empirical Bayes for Data Integration
by: Rognon-Vael, Paul, et al.
Published: (2025)
by: Rognon-Vael, Paul, et al.
Published: (2025)
Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework
by: Morikawa, Kosuke, et al.
Published: (2026)
by: Morikawa, Kosuke, et al.
Published: (2026)
Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration
by: Shen, Tao, et al.
Published: (2025)
by: Shen, Tao, et al.
Published: (2025)
Developing Performance-Guaranteed Biomarker Combination Rules with Integrated External Information under Practical Constraint
by: Osom, Albert, et al.
Published: (2026)
by: Osom, Albert, et al.
Published: (2026)
Dependable Exploitation of High-Dimensional Unlabeled Data in an Assumption-Lean Framework
by: Ying, Chao, et al.
Published: (2026)
by: Ying, Chao, et al.
Published: (2026)
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
by: Li, Mengbing, et al.
Published: (2023)
by: Li, Mengbing, et al.
Published: (2023)
A Model-Based Clustering Approach for Bounded Data Using Transformation-Based Gaussian Mixture Models
by: Scrucca, Luca
Published: (2024)
by: Scrucca, Luca
Published: (2024)
A Semiparametric Approach for Robust and Efficient Learning with Biobank Data
by: Liu, Molei, et al.
Published: (2024)
by: Liu, Molei, et al.
Published: (2024)
Asymptotic Theory for Regularized Estimation in Functional Time Series Models
by: Niu, Ying, et al.
Published: (2025)
by: Niu, Ying, et al.
Published: (2025)
Goodness-of-fit Tests for Heavy-tailed Random Fields
by: Niu, Ying, et al.
Published: (2025)
by: Niu, Ying, et al.
Published: (2025)
Bootstrap Nonparametric Inference under Data Integration
by: Shang, Zuofeng, et al.
Published: (2025)
by: Shang, Zuofeng, et al.
Published: (2025)
Similar Items
-
Multi-level Latent Variable Models for Coheritability Analysis in Electronic Health Records
by: Zhao, Yinjun, et al.
Published: (2025) -
Cumulative Marginal Mean Model for Assessing Sequential Effects Using Digital Health Data
by: Guo, Xingche, et al.
Published: (2025) -
Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
by: Deng, Yuhao, et al.
Published: (2026) -
Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024) -
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)