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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/16968
Title: 
Modeling grouped survival data with time-dependent covariates
Author(s): 
Institution: 
  • Universidade Federal de Minas Gerais (UFMG)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0361-0918
Abstract: 
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five different water stresses in Eucalyptus grandis seedlings. The response was the seedling lifetime. The data set was grouped since there were just three occasions in which the seedlings was visited by the researcher. In each of these occasions also the shoot height was measured and therefore it is a time-dependent covariate. Both extended models were used in this example, and the results were very similar.
Issue Date: 
1-Oct-2006
Citation: 
Communications In Statistics-simulation and Computation. Philadelphia: Taylor & Francis Inc., v. 35, n. 4, p. 975-981, 2006.
Time Duration: 
975-981
Publisher: 
Taylor & Francis Inc
Keywords: 
  • discrete models
  • interval censoring
  • logistic model
  • proportional hazards model
  • water stress
Source: 
http://dx.doi.org/10.1080/03610910600880450
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/16968
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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