Competing risk modeling with bivariate varying coefficients to understand the dynamic impact of COVID-19
Wenbo Wu*, John D. Kalbfleisch, Jeremy M.G. Taylor, Jian Kang, Kevin He†
Publications
Selected publications from the team (*PhD advisee, †Corresponding author).
Individualized empirical null estimation for exact tests of healthcare quality
Nicholas Hartman†, Kevin He
- Category
- Statistical Methods
- Date
Healthcare center clustering for Cox's proportional hazards model by fusion penalty
Lili Liu, Kevin He, Di Wang, Shujie Ma, Annie Qu, Lu Lin, J. Philip Miller, Lei Liu
- Category
- Healthcare Provider Profiling
- Date
Composite scores for transplant center evaluation: A new individualized empirical null method
Nicholas Hartman, Joseph M. Messana, Jian Kang, Abhijit S. Naik, Tempie H. Shearon, Kevin He†
- Category
- Statistical Methods
- Date
Models and methods for analysing clustered recurrent hospitalisations in the presence of COVID-19 effects
Xuemei Ding, Kevin He & John D. Kalbfleisch
an early version won the Student Paper Award from the Statistics in Epidemiology Section of the American Statistical Association in 2022
Limitations of the inter-unit reliability: a set of practical examples
Nicholas Hartman, Vahakn B. Shahinian, Valarie B. Ashby, Katrina J. Price & Kevin He†
- Category
- Healthcare Provider Profiling
- Date
Healthcare center clustering for Cox's proportional hazards model by fusion penalty
Lili Liu, Kevin He, Di Wang, Shujie Ma, Annie Qu, Lu Lin, J. Philip Miller, Lei Liu
- Category
- Healthcare Provider Profiling
- Date
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard models
Lingfeng Luo, Kevin He, Wenbo Wu & Jeremy M.G. Taylor
Pitfalls of the concordance index for survival outcomes
Nicholas Hartman, Sehee Kim, Kevin He, John D. Kalbfleisch
- Category
- Statistical Methods
- Date
Concordance Indices with Left-Truncated and Right-Censored Data.
Nicholas Hartman, Sehee Kim, Kevin He, John D. Kalbfleisch
An early version won the Student Paper Award from the Risk Analysis Section of the American Statistical sociation in 2021
- Category
- Statistical Methods
- Date
Analysis of hospital readmissions with competing risks.
Wenbo Wu*, Kevin He, Xu Shi, Douglas E. Schaubel & John D. Kalbfleisch
An early version won the Student Paper Award from the Lifetime Data Science Section of the American Statistical Association in 2021
- Category
- Statistical Methods
- Date
Test-specific funnel plots for healthcare provider profiling leveraging individual- and summary-level information
Wenbo Wu*, Jonathan P. Kuriakose, Wenjing Weng, Richard E. Burney & Kevin He†
- Category
- Healthcare Provider Profiling
- Date
Concordance indices with left-truncated and right-censored data
Nicholas Hartman*, Sehee Kim, Kevin He, John D Kalbfleisch
An early version won the Student Paper from the Risk Analysis Section of the American Statistical Association in 2021
Improving large-scale estimation and inference for profiling health care providers
Wenbo Wu*, Yuan Yang, Jian Kang, Kevin He†
A cross-validation statistical framework for asymmetric data integration
Lam Tran, Kevin He, Di Wang, Hui Jiang
- Category
- Statistical Methods
- Date
Survival Analysis via Ordinary Differential Equations
Weijing Tang, Kevin He, Gongjun Xu and Ji Zhu
- Category
- Statistical Methods
- Date
Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients
Wenbo Wu*, Jeremy M. G. Taylor, Andrew F. Brouwer, Lingfeng Luo, Jian Kang, Hui Jiang & Kevin He†
Stratified Cox models with time-varying effects for national kidney transplant patients: a new block-wise steepest ascent method
Kevin He, Ji Zhu, Jiang Kang, Yi Li
- Category
- Statistical Methods
- Date
Cox-nnet v2.0: improved neural-network based survival prediction extended to large-scale EMR data
Di Wang, Zheng Jing, Kevin He & Lana X Garmire
- Category
- Statistical Methods
- Date
Accounting for total variation and robustness in profiling health care providers
Lu Xia, Kevin He, Yanming Li & John Kalbfleisch
Generalized Linear Mixed Models with Gaussian Mixture Random Effects: Inference and Application
Lanfeng Pan, Yehua Li, Kevin He, Yanming Li & Yi Li
The profiling inter-unit reliability
Kevin He, Claudia Dahlerus, Lu Xia, Yanming Li & John Kalbfleisch
- Category
- Healthcare Provider Profiling
- Date
Prognostic score matching methods for estimating the average treatment effect on the survival function when treatment is time-dependent
Kevin He, Yun Li, Panduranga S Rao, Randall S Sung & Douglas E Schaubel
- Category
- Statistical Methods
- Date
Lifetime Data Analysis, Prognostic score matching methods for estimating the average treatment effect on the survival function when treatment is time-dependentGet Code, Prognostic score matching methods for estimating the average treatment effect on the survival function when treatment is time-dependent
Penalized survival models for the analysis of alternating recurrent event data
Lili Wang, Kevin He, Douglas E Schaubel
- Category
- Healthcare Provider Profiling
- Date
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
Emily Morris, Kevin He, Yanming Li, Yi Li & Jian Kang
- Category
- Statistical Methods
- Date
An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis.
Kevin He†, Yue Wang, Xiang Zhou, Han Xu & Can Huang
- Category
- Statistical Methods
- Date
Evaluating center-specific long term outcomes through differences in mean survival time
Kevin He†, Valarie B Ashby, Douglas E Schaubel
- Category
- Healthcare Provider Profiling
- Date
Inter-unit reliability for nonlinear models
Kevin He†, John D. Kalbfleisch, Yuan Yang, Zhe Fei
- Category
- Healthcare Provider Profiling
- Date
Covariance-insured screening
Kevin He, Jian Kang, Hyokyoung G. Hong, Ji Zhu, Yanming Li, Huazhen Lin Han Xu, Yi Li
- Category
- Statistical Methods
- Date
A selective overview of feature screening methods with applications to neuroimaging data.
Kevin He, Han Xu & Jian Kang
- Category
- Statistical Methods
- Date
False discovery control for penalized variable selections with high-dimensional covariates
Kevin He, Xiang Zhou, Hui Jiang, Xiaoquan Wen, Yi Li
Does the inter-unit reliability (IUR) measure reliability?
John D. Kalbfleisch, Kevin He, Lu Xia & Yanming Li
- Category
- Healthcare Provider Profiling
- Date
Modeling time-varying effects with large-scale survival data: an efficient quasi-Newton approach
Kevin he, Yuan Yang, Yanming Li, Ji Zhu & Yi Li
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates
Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E Lee, Christopher I Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li
Standardized mortality ratio for evaluating center-specific mortality: assessment and alternative
Kevin He† & Douglas E Schaubel
- Category
- Healthcare Provider Profiling
- Date
Semiparametric methods for relative risk center effect measures
Kevin He† & Douglas E Schaubel
- Category
- Healthcare Provider Profiling
- Date
Methods for estimating center effects in survival analysis using direct standardization
Kevin He†, Valarie B Ashby & Douglas E Schaubel
- Category
- Healthcare Provider Profiling
- Date
Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects
Kevin He, Jack D. Kalbfleisch, Yijiang Li & Yi Li
- Category
- Healthcare Provider Profiling
- Date
Matching Methods for Obtaining Survival Functions to Estimate the Effect of a Time-Dependent Treatment
Yun Li, Douglas E Schaubel & Kevin He