Use this url to cite publication: https://hdl.handle.net/20.500.12259/40063
Application of survival models for the population studies
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
| Author | Affiliation | |
|---|---|---|
LT | ||
Tamošiūnas, Abdonas | Kauno medicinos universitetas | LT |
Rėklaitienė, Regina | Kauno medicinos universitetas | LT |
Juozulynas, Algirdas | Vilniaus universitetas | LT |
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)
Date Issued
| Date |
|---|
2003 |
Publisher
Vilnius : Institute of mathematics and informatics
Extent
p. 541-550
Abstract (en)
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.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
0868-4952
WOS
WOS:000187674200010
Other Identifier(s)
VDU02-000001613