Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies

DOI10.1016/j.csda.2019.106874zbMath1504.62165OpenAlexW2981979942WikidataQ127025271 ScholiaQ127025271MaRDI QIDQ2291304

Xiaoguang Wang, Bo Han

Publication date: 30 January 2020

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2019.106874

zbMATH Keywords

EM algorithmcase-cohortnested case-controlpseudo-maximum likelihood estimationnon-mixture cure model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01)

Uses Software

• miCoPTCM

Cites Work

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• Fitting semiparametric cure models
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• Efficient estimation for accelerated failure time model under case‐cohort and nested case‐control sampling
• Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
• Semiparametric transformation models for the case-cohort study
• Maximum likelihood estimation for Cox's regression model under nested case-control sampling
• Convergence of stochastic processes
• A mixture model combining logistic regression with proportional hazards regression

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