A general approach for cure models in survival analysis

DOI10.1214/19-AOS1889zbMath1455.62193arXiv1701.03769OpenAlexW2964257035MaRDI QIDQ2215740

Valentin Patilea, Ingrid Van Keilegom

Publication date: 14 December 2020

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1701.03769

zbMATH Keywords

bootstrapasymptotic normalitykernel smoothingsemiparametric modellogistic regressionmixture cure model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Generalized linear models (logistic models) (62J12) Estimation in survival analysis and censored data (62N02)

Related Items (11)

A stochastic version of the EM algorithm for mixture cure model with exponentiated Weibull family of lifetimes ⋮ The nonparametric location-scale mixture cure model ⋮ A presmoothing approach for estimation in the semiparametric Cox mixture cure model ⋮ Comments on: ``Nonparametric estimation in mixture cure models with covariates ⋮ Comments on: ``Nonparametric estimation in mixture cure models with covariates ⋮ Nonparametric estimation in mixture cure models with covariates ⋮ A product‐limit estimator of the conditional survival function when cure status is partially known ⋮ Distributed Censored Quantile Regression ⋮ Accelerated failure time vs Cox proportional hazards mixture cure models: David vs Goliath? ⋮ Latency function estimation under the mixture cure model when the cure status is available ⋮ A simulation-extrapolation approach for the mixture cure model with mismeasured covariates

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• Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional-Hazards Mixture Model
• Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
• A mixture model combining logistic regression with proportional hazards regression

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