Nonparametric versus Parametric Estimation of the Cure Fraction Using Interval Censored Data

DOI10.1080/03610926.2011.569678zbMath1258.62036OpenAlexW2021062455MaRDI QIDQ4904686

Noor Akma Ibrahim, Mohd Rizam Abu Bakar, Bader Ahmad I. Aljawadi

Publication date: 31 January 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.569678

zbMATH Keywords

EM algorithminterval censoringcure fractionTurnbull estimatorBCH model

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Point estimation (62F10) Censored data models (62N01)

Related Items (1)

Gamma lifetimes and associated inference for interval-censored cure rate model with COM–Poisson competing cause

Cites Work

• Cure-rate estimation under case-1 interval censoring
• Regression analysis of multivariate recurrent event data with a dependent terminal event
• Analysis of cure rate survival data under proportional odds model
• On the unification of long-term survival models
• Survival analysis. Techniques for censored and truncated data.
• Frequentist and Bayesian approaches for interval-censored data
• A Nonparametric Mixture Model for Cure Rate Estimation
• Flexible Cure Rate Modeling Under Latent Activation Schemes
• Cure rate models: A unified approach
• Semiparametric Transformation Models for Survival Data With a Cure Fraction
• Optimal schedules of cancer surveillance and tumor size at detection
• A mixture model combining logistic regression with proportional hazards regression

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