Mixture cure rate models with accelerated failures and nonparametric form of covariate effects

DOI10.1080/10485252.2017.1404599zbMath1468.62377OpenAlexW2769370110MaRDI QIDQ4634450

Tianlei Chen, Pang Du

Publication date: 10 April 2018

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

Full work available at URL: https://doi.org/10.1080/10485252.2017.1404599

zbMATH Keywords

confidence intervalsaccelerated failure timeLouis formulanonparametric covariate effectspenalised EM algorithmtwo-component mixture cure rate model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Nonparametric tolerance and confidence regions (62G15) Analysis of variance and covariance (ANOVA) (62J10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Mixture cure rate models with neural network estimated nonparametric components

Uses Software

• gss

Cites Work

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• Smoothing Spline Gaussian Regression: More Scalable Computation via Efficient Approximation
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• A Nonparametric Mixture Model for Cure Rate Estimation
• A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring
• Semiparametric Transformation Models for Survival Data With a Cure Fraction
• A mixture model combining logistic regression with proportional hazards regression

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