Inference in generalized linear regression models with a censored covariate

• Published in: Computational statistics & data analysis Vol. 56; no. 6; pp. 1854 - 1868
• Main Authors: Tsimikas, John V., Bantis, Leonidas E., Georgiou, Stelios D.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2012; Elsevier
• Series: Computational Statistics & Data Analysis
• Subjects: Accelerated failure time model; Accelerated failure time model Censored covariate Estimating functions Generalized gamma distribution Generalized linear model Mean imputation Quasi-likelihood; Censored covariate; Computation; Estimating; Estimating functions; Generalized gamma distribution; Generalized linear model; Inference; Mathematical models; Mean imputation; Quasi-likelihood; Regression; Regression analysis; Statistics; Survival; Estimating functions; Generalized linear model; Quasi-likelihood; Censored covariate; Accelerated failure time model; Mean imputation; Generalized gamma distribution

The problem of estimating the parameters in a generalized linear model when a covariate is subject to censoring is studied. A new method based on an estimating function approach is proposed. The method does not assume a parametric form for the distribution of the response given the regressors and is...