Flexible parametric approach to classical measurement error variance estimation without auxiliary data

DOI10.1111/biom.12960zbMath1436.62511OpenAlexW2756768934WikidataQ90750004 ScholiaQ90750004MaRDI QIDQ5214474

Catherine Legrand, Aurélie M. E. Bertrand, Ingrid Van Keilegom

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A187163/datastream/PDF_01/view

zbMATH Keywords

survival analysisproportional hazards modelmeasurement errorerror variance

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Estimation of the variance matrix in bivariate classical measurement error models ⋮ Goodness‐of‐fit tests in proportional hazards models with random effects ⋮ Model selection and model averaging for analysis of truncated and censored data with measurement error ⋮ A simulation-extrapolation approach for the mixture cure model with mismeasured covariates ⋮ Density estimation for mixed Euclidean and non-Euclidean data in the presence of measurement error

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