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Lifetime Data Analysis

, Volume 8, Issue 2, pp 163–176 | Cite as

Hierarchical-Likelihood Approach for Mixed Linear Models with Censored Data

  • Il Do Ha
  • Youngjo Lee
  • Jae-Kee Song
Article

Abstract

Mixed linear models describe the dependence via random effects in multivariate normal survival data. Recently they have received considerable attention in the biomedical literature. They model the conditional survival times, whereas the alternative frailty model uses the conditional hazard rate. We develop an inferential method for the mixed linear model via Lee and Nelder's (1996) hierarchical-likelihood (h-likelihood). Simulation and a practical example are presented to illustrate the new method.

hierarchical-likelihood mixed linear model multivariate survival data random effects restricted maximum likelihood 

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Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Il Do Ha
    • 1
  • Youngjo Lee
    • 2
  • Jae-Kee Song
    • 3
  1. 1.Department of StatisticsKyungsan UniversityKyungsanSouth Korea
  2. 2.Department of StatisticsSeoul National UniversitySeoulSouth Korea
  3. 3.Department of StatisticsKyungpook National UniversityTaeguSouth Korea

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