Hierarchical-likelihood approach for mixed linear models with censored data

DOI10.1023/A:1014839723865zbMath1037.62100OpenAlexW175315880WikidataQ30696382 ScholiaQ30696382MaRDI QIDQ1812099

Youngjo Lee, Jae-Kee Song, Il Do Ha

Publication date: 18 June 2003

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1014839723865

zbMATH Keywords

tablesrandom effectsrestricted maximum likelihoodmixed linear modelmultivariate survival datahierarchical-likelihood

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 (13)

H-relative error estimation for multiplicative regression model with random effect ⋮ Penalized h‐likelihood approach for variable selection in AFT random‐effect models ⋮ Likelihood inference for models with unobservables: another view ⋮ Unnamed Item ⋮ Fitting mixed-effects models when data are left truncated ⋮ Hierarchical likelihood approach for the Weibull frailty model ⋮ Comparison of hierarchical and marginal likelihood estimators for binary outcomes ⋮ HGLM modelling of dropout process using a frailty model ⋮ Double Hierarchical Generalized Linear Models (With Discussion) ⋮ Robust frailty modelling using non-proportional hazards models ⋮ A review of h-likelihood for survival analysis ⋮ Application of H-likelihood to factor analysis models with binary response data ⋮ Multilevel mixed linear models for survival data

Uses Software

• AS 139

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