Two‐Component Mixture Cure Rate Model with Spline Estimated Nonparametric Components

DOI10.1111/j.1541-0420.2011.01715.xzbMath1272.62097OpenAlexW2037438324WikidataQ51472947 ScholiaQ51472947MaRDI QIDQ4649047

Pang Du, Hua Liang, Lu Wang

Publication date: 19 November 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01715.x

zbMATH Keywords

convergence ratesconfidence intervalsmodel selectionpenalized EM algorithmsmoothing spline ANOVAtwo-component mixture cure rate modelnonparametric cure ratenonparametric hazard

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (14)

A new semiparametric estimation method for accelerated hazards mixture cure model ⋮ Residual‐based model diagnosis methods for mixture cure models ⋮ Mixture cure rate models with neural network estimated nonparametric components ⋮ Flexible estimation in cure survival models using Bayesian P-splines ⋮ On the estimation of hazard rate in mixed populations with its application ⋮ On testing for homogeneity with zero‐inflated models through the lens of model misspecification ⋮ Exposure assessment for Cox proportional hazards cure models with interval‐censored survival data ⋮ A semiparametric mixture cure survival model for left-truncated and right-censored data ⋮ Varying coefficient transformation cure models for failure time data ⋮ Mixture cure rate models with accelerated failures and nonparametric form of covariate effects ⋮ Smooth Semi-nonparametric Analysis for Mixture Cure Models and Its Application to Breast Cancer ⋮ Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models ⋮ Nonparametric latency estimation for mixture cure models ⋮ Censored quantile regression survival models with a cure proportion

Uses Software

• gss

Cites Work

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• Semiparametric Transformation Models for Survival Data With a Cure Fraction
• Identifiability of cure models
• Smoothing spline ANOVA models
• A mixture model combining logistic regression with proportional hazards regression

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