Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/40063
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Medicina / Medicine (M001)
Author(s): Vilkauskas, Leonardas;Tamošiūnas, Abdonas;Rėklaitienė, Regina;Juozulynas, Algirdas
Title: Application of survival models for the population studies
Other Title: Išgyvenamumo prognozavimo galimybės populiaciniuose tyrimuose
Is part of: Informatica: international journal. Vilnius : Institute of mathematics and informatics., Vol. 14, no. 4 (2003)
Extent: p. 541-550
Date: 2003
Keywords: Mathematical modeling;Survival;Life expactancy;Risk factors
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
Internet: http://www.mii.lt/informatica/htm/INFO530.htm
Affiliation(s): Kauno medicinos universitetas
Vilniaus universitetas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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