Yuanjia
23 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0002-1510-3315
Department of Biostatistics, Columbia University
Publications
- Semiparametric analysis of interval-censored data subject to inaccurate diagnoses with a terminal event — The Annals of Applied Statistics 2026
- Dynamic classification of latent disease progression with auxiliary surrogate labels — The Annals of Applied Statistics 2026
- Joint modeling for learning decision-making dynamics in behavioral experiments — The Annals of Applied Statistics 2025
- Support vector machine for dynamic survival prediction with time-dependent covariates — The Annals of Applied Statistics 2024
- A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders — Journal of the American Statistical Association 2024
- Controlling Cumulative Adverse Risk in Learning Optimal Dynamic Treatment Regimens — Journal of the American Statistical Association 2024
- Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes — Journal of the American Statistical Association 2023
- Integrative network learning for multimodality biomarker data — The Annals of Applied Statistics 2021
- Modelling temporal biomarkers with semiparametric nonlinear dynamical systems — Biometrika 2021
- Learning Individualized Treatment Rules for Multiple-Domain Latent Outcomes — Journal of the American Statistical Association 2021
- Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records — Journal of the American Statistical Association 2020
- Early diagnosis of neurological disease using peak degeneration ages of multiple biomarkers — The Annals of Applied Statistics 2019
- Learning Optimal Personalized Treatment Rules in Consideration of Benefit and Risk: With an Application to Treating Type 2 Diabetes Patients With Insulin Therapies — Journal of the American Statistical Association 2018
- Robust mixed effects model for clustered failure time data: Application to Huntington’s disease event measures — The Annals of Applied Statistics 2017
- Variable selection and prediction with incomplete high-dimensional data — The Annals of Applied Statistics 2016
- Efficient estimation of nonparametric genetic risk function with censored data — Biometrika 2015
- Fused kernel-spline smoothing for repeatedly measured outcomes in a generalized partially linear model with functional single index — The Annals of Statistics 2015
- Targeted Local Support Vector Machine for Age-Dependent Classification — Journal of the American Statistical Association 2014
- Auxiliary Marker-Assisted Classification in the Absence of Class Identifiers — Journal of the American Statistical Association 2013
- Comment — Journal of the American Statistical Association 2013
- A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data — Journal of the American Statistical Association 2013
- Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial — Journal of the American Statistical Association 2012
- Beyond Overall Diagnosis: A Longitudinal Multi-Domain Latent Structure Model for Domain-Specific Parkinson’s Disease Progression — Journal of the American Statistical Association