Kevin He | DeepAI

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Li Liu
154 publications
Yi Li
145 publications
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126 publications
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45 publications
Jian Kang
45 publications
Ji Zhu
32 publications
Gongjun Xu
28 publications
Han Xu
25 publications
Fedor Sandomirskiy
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Jeremy M G Taylor
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Lu Xia
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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 ...

0 Nicholas Hartman, et al. ∙

∙ 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)...

0 Di Wang, et al. ∙

∙ 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...

0 Qinmengge Li, et al. ∙

∙ 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 ...

0 Wenbo Wu, et al. ∙

∙ 08/10/2022

KL-divergence Based Deep Learning for Discrete Time Model

Neural Network (Deep Learning) is a modern model in Artificial Intellige...

0 Li Liu, et al. ∙

∙ 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...

0 Nicholas Hartman, et al. ∙

∙ 12/29/2021

Private Private Information

In a private private information structure, agents' signals contain no i...

0 Kevin He, et al. ∙

∙ 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...

0 Di Wang, et al. ∙

∙ 09/07/2020

Survival Analysis via Ordinary Differential Equations

This paper introduces a general framework for survival analysis based on...

0 Weijing Tang, et al. ∙

∙ 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...

0 Yun Li, et al. ∙

∙ 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...

0 Kevin He, et al. ∙

∙ 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...

0 Lu Xia, et al. ∙

∙ 05/17/2018

Covariance-Insured Screening

Modern bio-technologies have produced a vast amount of high-throughput d...

0 Kevin He, et al. ∙

∙ 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...

0 Kevin He, et al. ∙

∙ 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...

0 Emily Morris, et al. ∙

∙ 11/04/2016

Classification with Ultrahigh-Dimensional Features

Although much progress has been made in classification with high-dimensi...

0 Yanming Li, et al. ∙

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