Estimation of linear transformation cure models with informatively interval-censored failure time data

DOI10.1080/10485252.2022.2148667OpenAlexW4309923825MaRDI QIDQ6162501

Chunjie Wang, Jianguo Sun, Shu-Ying Wang, Da Xu

Publication date: 28 June 2023

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10485252.2022.2148667

zbMATH Keywords

cure modellinear transformation modelsieve maximum likelihood estimationinformative interval-censoring

Mathematics Subject Classification ID

Nonparametric inference (62Gxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Regression analysis of informative current status data with the additive hazards model
• Semiparametric analysis of panel count data with correlated observation and follow-up times
• Bootstrap methods: another look at the jackknife
• Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
• Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data
• Efficient estimation for the proportional hazards model with interval censoring
• Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring
• The statistical analysis of interval-censored failure time data.
• Interval-Censored Time-to-Event Data
• Regression analysis of interval-censored failure time data with linear transformation models
• Analysis of Failure Time Data with Dependent Interval Censoring
• A class of linear transformation models for interval censored data with a cured proportion
• On semiparametric transformation cure models
• Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model With Interval-Censored Data
• Sieve maximum likelihood regression analysis of dependent current status data
• Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
• A semiparametric regression cure model with current status data
• Analysis of transformation models with censored data
• Predicting Survival Probabilities With Semiparametric Transformation Models
• Sieve Estimation for the Proportional-Odds Failure-Time Regression Model With Interval Censoring
• Analyzing Recurrent Event Data With Informative Censoring
• Semiparametric transformation models for interval‐censored data in the presence of a cure fraction
• Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Regression analysis of bivariate current status data under the proportional hazards model
• Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data
• A Semiparametric Regression Cure Model for Interval-Censored Data
• A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring
• Regression analysis of case K interval‐censored failure time data in the presence of informative censoring
• Goodness-of-fit tests for the cure rate in a mixture cure model
• A mixture model combining logistic regression with proportional hazards regression

This page was built for publication: Estimation of linear transformation cure models with informatively interval-censored failure time data