Document Detail


Hierarchical-likelihood approach for mixed linear models with censored data.
MedLine Citation:
PMID:  12048865     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Il Do Ha; Youngjo Lee; Jae-Kee Song
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Lifetime data analysis     Volume:  8     ISSN:  1380-7870     ISO Abbreviation:  Lifetime Data Anal     Publication Date:  2002 Jun 
Date Detail:
Created Date:  2002-06-06     Completed Date:  2002-06-19     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9516348     Medline TA:  Lifetime Data Anal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  163-76     Citation Subset:  IM    
Affiliation:
Department of Statistics, Kyungsan University, Kyungsan, 712-240, South Korea. idha@kyungsan.ac.kr
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MeSH Terms
Descriptor/Qualifier:
Animals
Female
Likelihood Functions*
Neoplasms, Experimental / pathology
Rats
Survival Analysis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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