Regression modelling of interval censored data based on the adaptive ridge procedure

DOI10.1080/02664763.2021.1944996OpenAlexW3175877810MaRDI QIDQ5044646

Olivier Bouaziz, Eva Lauridsen, Gregory Nuel

Publication date: 2 November 2022

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

Full work available at URL: https://arxiv.org/abs/1812.09158

zbMATH Keywords

EM algorithminterval censoringcure modelpenalised likelihoodpiecewise constant hazardadaptive ridge procedure

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03) Applications of statistics (62Pxx)

Related Items (1)

Fast approximations of pseudo‐observations in the context of right censoring and interval censoring

Uses Software

• invGauss
• ELYP

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
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• A study of interval censoring in parametric regression models
• A comparison of regression spline smoothing procedures
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• Partially linear transformation cure models for interval-censored 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
• Estimation in a Cox Proportional Hazards Cure Model
• A Nonparametric Mixture Model for Cure Rate Estimation
• A Cox‐Aalen Model for Interval‐censored Data
• A Semiparametric Regression Cure Model for Interval-Censored Data
• Maximum likelihood estimation for semiparametric transformation models with interval-censored data

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