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Application of Survival Models for the Population Studies
Volume 14, Issue 4 (2003), pp. 541–550
Leonardas Vilkauskas   Abdonas Tamošiūnas   Regina Rėklaitienė   Algirdas Juozulynas  

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https://doi.org/10.15388/Informatica.2003.040
Pub. online: 1 January 2003      Type: Research Article     

Received
1 September 2003
Published
1 January 2003

Abstract

The paper deals with the analysis of the two survival models of the accelerated failure‐time using two‐parametrical log‐logistic and Weibull distributions, and survival models using conditional generalized Weibull, log‐logistic, and Smith and Bain distributions. The observed survival (number of deaths during the 30‐year follow‐up period among the study cohort) and the survival predicted by regression models (predicted number of deaths for the same period of time) were compared. Data on deaths occurring in random sample of men were obtained from the death register of the city of Kaunas. The best agreement between the predicted and observed survival was obtained with one of the modified Smith and Bain models.

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Keywords
mathematical modeling survival life expectancy risk factors

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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