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05/10/2023
Robust Privacy-Preserving Models for Cluster-Level Confounding: Recognizing Disparities in Access to Transplantation
In applications where the study data are collected within cluster units ...
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02/22/2023
Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores
Polygenic hazard score (PHS) models designed for European ancestry (EUR)...
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10/12/2022
Bregman Divergence-Based Data Integration with Application to Polygenic Risk Score (PRS) Heterogeneity Adjustment
Polygenic risk scores (PRS) have recently received much attention for ge...
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09/01/2022
Understanding the dynamic impact of COVID-19 through competing risk modeling with bivariate varying coefficients
The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound ...
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08/10/2022
KL-divergence Based Deep Learning for Discrete Time Model
Neural Network (Deep Learning) is a modern model in Artificial Intellige...
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07/15/2022
Composite Scores for Transplant Center Evaluation: A New Individualized Empirical Null Method
Risk-adjusted quality measures are used to evaluate healthcare providers...
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12/29/2021
Private Private Information
In a private private information structure, agents' signals contain no i...
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01/07/2021
Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset
Existing literature for prediction of time-to-event data has primarily f...
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09/07/2020
Survival Analysis via Ordinary Differential Equations
This paper introduces a general framework for survival analysis based on...
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05/19/2020
Matching methods for obtaining survival functions to estimate the effect of a time-dependent treatment
In observational studies of survival time featuring a binary time-depend...
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12/27/2019
Minorization-Maximization-based Steepest Ascent for Large-scale Survival Analysis with Time-Varying Effects: Application to the National Kidney Transplant Dataset
The time-varying effects model is a flexible and powerful tool for model...
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07/17/2019
Accounting for total variation and robustness in profiling health care providers
Monitoring outcomes of health care providers, such as patient deaths, ho...
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05/17/2018
Covariance-Insured Screening
Modern bio-technologies have produced a vast amount of high-throughput d...
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03/21/2018
Mislearning from Censored Data: Gambler's Fallacy in a Search Problem
In the context of a sequential search problem, I explore large-generatio...
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03/21/2018
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
High-dimensional variable selection in the proportional hazards (PH) mod...
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11/04/2016
