Robustness of estimation methods in a survival cure model with mismeasured covariates

DOI10.1016/J.CSDA.2016.11.013zbMath1464.62026OpenAlexW2558214248MaRDI QIDQ1658123

Y. Aharonov

Publication date: 14 August 2018

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

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/585732

zbMATH Keywords

measurement errorbias correctioncure fractionsemiparametric methodpromotion time cure model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Advances in medical statistics ⋮ Simultaneous Semiparametric Estimation of Clustering and Regression ⋮ Semiparametric regression for measurement error model with heteroscedastic error ⋮ Efficient estimation for the non-mixture cure model with current status data ⋮ A simulation-extrapolation approach for the mixture cure model with mismeasured covariates ⋮ Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies ⋮ miCoPTCM

Uses Software

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Cites Work

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• Covariate measurement errors in frailty models for clustered survival data
• Cure Rate Model With Mismeasured Covariates Under Transformation
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Semi-Parametric Estimation in Failure Time Mixture Models
• A Proportional Hazards Model Taking Account of Long-Term Survivors
• Regression Dilution in the Proportional Hazards Model
• Measurement Error in Nonlinear Models
• Semiparametric Transformation Models for Survival Data With a Cure Fraction

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