Estimation of Survival Function

Odhad funkce přežití

Jana Kahounová

Acta Oeconomica Pragensia, 2007, vol. 2007, issue 1, 36-44

Abstract: In the past decade applications of the statistical methods for survival data analysis have been extended beyond biomedical and reliability research to other fields. The term survival data has been used in a broad sense for data involving time to a certain event such a failure, response, death and so on. Survival times are subjected random variations and like any random variable, they form a distribution. The ability to estimate a survival distribution in the presence of censoring is important and has been studied extensively. This paper is concerned with estimators of survival function. If one is not willing to make parametric assumptions about the exact form of the underlying survival and censoring distributions but is willing to assume independence between survival and censoring variables, Kaplan and Meier provided an estimator which is consistent, among other desirable properties.

Keywords: survival analysis; survival function; censored observations (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://aop.vse.cz/doi/10.18267/j.aop.36.html (text/html)
http://aop.vse.cz/doi/10.18267/j.aop.36.pdf (application/pdf)
free of charge

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:prg:jnlaop:v:2007:y:2007:i:1:id:36:p:36-44

Ordering information: This journal article can be ordered from
Redakce Acta Oeconomica Pragensia, Vysoká škola ekonomická v Praze, nám. W. Churchilla 4, 130 67 Praha 3
http://aop.vse.cz

DOI: 10.18267/j.aop.36

Access Statistics for this article

Acta Oeconomica Pragensia is currently edited by Klára Šimůnková

More articles in Acta Oeconomica Pragensia from Prague University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Stanislav Vojir ().