Semiparametric transformation models for interval‐censored data in the presence of a cure fraction

DOI10.1002/bimj.201700304zbMath1412.62146OpenAlexW2903337347WikidataQ93358686 ScholiaQ93358686MaRDI QIDQ4626723

Chyong-Mei Chen, Wei-Lun Huang, Pao-sheng Shen

Publication date: 28 February 2019

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201700304

zbMATH Keywords

EM algorithmtransformation modelcure modelinterval-censored datasemiparametric maximum likelihood estimators

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Related Items (4)

Variable selection for generalized odds rate mixture cure models with interval-censored failure time data ⋮ Estimation of linear transformation cure models with informatively interval-censored failure time data ⋮ A multiple imputation approach for the Cox-Aalen cure model with interval-censored data ⋮ Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Empirical likelihood for linear transformation models with interval-censored failure time data
• A multiple imputation approach for semiparametric cure model with interval censored data
• Efficient estimation for semiparametric cure models with interval-censored data
• The statistical analysis of interval-censored failure time data.
• A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
• Regression analysis of interval-censored failure time data with linear transformation models
• A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
• On semiparametric transformation cure models
• Efficient estimation of semiparametric transformation models for counting processes
• Parametric Spatial Cure Rate Models for Interval‐Censored Time‐to‐Relapse Data
• Estimation and Testing in a Two-Sample Generalized Odds-Rate Model
• Analysis of transformation models with censored data
• Sieve Estimation for the Proportional-Odds Failure-Time Regression Model With Interval Censoring
• Semiparametric analysis of transformation models with censored data
• Proportional Hazards Regression with Missing Covariates
• A New Bayesian Model for Survival Data with a Surviving Fraction
• On Profile Likelihood
• Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data
• Estimation in a Cox Proportional Hazards Cure Model
• A Nonparametric Mixture Model for Cure Rate Estimation
• Consistency of the GMLE with Mixed Case Interval‐Censored Data
• A Semiparametric Regression Cure Model for Interval-Censored Data
• Interval Mapping of Quantitative Trait Loci for Time‐to‐Event Data with the Proportional Hazards Mixture Cure Model
• Maximum likelihood estimation for semiparametric transformation models with interval-censored data
• A semiparametric cure model for interval‐censored data
• Semiparametric Transformation Models for Survival Data With a Cure Fraction
• Asymptotic properties of self-consistent estimators with mixed interval-censored data
• A mixture model combining logistic regression with proportional hazards regression

This page was built for publication: Semiparametric transformation models for interval‐censored data in the presence of a cure fraction