Fitting linear regression models to censored data by least squares and maximum likelihood methods

DOI10.1080/03610928608829305zbMath0616.62093OpenAlexW2067894881MaRDI QIDQ4725545

Donald L. McLeish, Samprit Chatterjee

Publication date: 1986

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

Full work available at URL: https://doi.org/10.1080/03610928608829305

zbMATH Keywords

maximum likelihoodrecursive algorithmmodified least squaresfitting a linear regression model to censored dataHeart transplant data

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Linear inference, regression (62J99)

Related Items (8)

An Iterative Weighted Least Squares Algorithm and Simulation Study for Censored Data M-Estimates ⋮ A Comparison of Three Buckley-James Variance Estimators ⋮ A branching process method in Lagrance random variate generation ⋮ Small sample properties of random coefficient regression estimators: a monte carlo simulation ⋮ Recursive estimation in linear models with general errors and grouped data: A median-based procedure and related asymptotics ⋮ Modal iterative estimation in linear models with unimodal errors and non-grouped and grouped data collected from different sources ⋮ Asymptotic properties of a modified semi-parametric MLE in linear regression with right-censored data ⋮ Unnamed Item

Cites Work

• Least squares regression with censored data
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• Unnamed Item

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