Semi-competing risks data analysis: accounting for death as a competing risk when the outcome of interest is nonterminal

S Haneuse, KH Lee - Circulation: Cardiovascular Quality and …, 2016 - Am Heart Assoc
Hospital readmission is a key marker of quality of health care. Notwithstanding its
widespread use, however, it remains controversial in part because statistical methods used …

Bayesian semiparametric analysis of semicompeting risks data: investigating hospital readmission after a pancreatic cancer diagnosis

KH Lee, S Haneuse, D Schrag… - Journal of the Royal …, 2015 - academic.oup.com
In the USA, the Centers for Medicare and Medicaid Services use 30-day readmission,
following hospitalization, as a proxy outcome to monitor quality of care. These efforts …

Semicompeting risks in aging research: methods, issues and needs

R Varadhan, QL Xue, K Bandeen-Roche - Lifetime data analysis, 2014 - Springer
A semicompeting risks problem involves two-types of events: a nonterminal and a terminal
event (death). Typically, the nonterminal event is the focus of the study, but the terminal …

Applying copula models to individual claim loss reserving methods

XB Zhao, X Zhou - Insurance: Mathematics and Economics, 2010 - Elsevier
The estimation of loss reserves for incurred but not reported (IBNR) claims presents an
important task for insurance companies to predict their liabilities. Recently, individual claim …

Semiparametric regression analysis of clustered survival data with semi-competing risks

M Peng, L Xiang, S Wang - Computational Statistics & Data Analysis, 2018 - Elsevier
Abstract Analysis of semi-competing risks data is becoming increasingly important in
medical research in which a subject may experience both nonterminal and terminal events …

[HTML][HTML] SemiCompRisks: an R package for the analysis of independent and cluster-correlated semi-competing risks data

D Alvares, S Haneuse, C Lee, KH Lee - The R journal, 2019 - ncbi.nlm.nih.gov
Semi-competing risks refer to the setting where primary scientific interest lies in estimation
and inference with respect to a non-terminal event, the occurrence of which is subject to a …

Correlation-based joint feature screening for semi-competing risks outcomes with application to breast cancer data

M Peng, L Xiang - Statistical Methods in Medical Research, 2021 - journals.sagepub.com
Ultrahigh-dimensional gene features are often collected in modern cancer studies in which
the number of gene features p is extremely larger than sample size n. While gene …

Examining the impact of critical attributes on hard drive failure times: Multi‐state models for left‐truncated and right‐censored semi‐competing risks data

JL Oakley, M Forshaw, P Philipson… - … Stochastic Models in …, 2024 - Wiley Online Library
The ability to predict failures in hard disk drives (HDDs) is a major objective of HDD
manufacturers since avoiding unexpected failures may prevent data loss, improve service …

Generalized copula-graphic estimator

J de Uña-Álvarez, N Veraverbeke - Test, 2013 - Springer
In this paper, a copula-graphic estimator is proposed for censored survival data. It is
assumed that there is some dependent censoring acting on the variable of interest that may …

On kernel-based estimation of conditional Kendall's tau: finite-distance bounds and asymptotic behavior

A Derumigny, JD Fermanian - Dependence Modeling, 2019 - degruyter.com
We study nonparametric estimators of conditional Kendall's tau, a measure of concordance
between two random variables given some covariates. We prove non-asymptotic pointwise …