Methods for Bivariate Survival Data with Mismeasured Covariates Under an Accelerated Failure Time Model

DOI10.1080/03610920600637198zbMath1105.62097OpenAlexW2037470846MaRDI QIDQ3424178

Wenqing He, Grace Y. Yi

Publication date: 15 February 2007

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920600637198

zbMATH Keywords

robustnessefficiencymeasurement errornormal distributionsbivariate survival dataaccelerated failure times

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (4)

Bayesian penalized Buckley-James method for high dimensional bivariate censored regression models ⋮ Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models ⋮ A Semiparametric Approach for Accelerated Failure Time Models with Covariates Subject to Measurement Error ⋮ Measurement error correction for the cumulative average model in the survival analysis of nutritional data: application to nurses' health study

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