Introduction to Survival Analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00395915" target="_blank" >RIV/67985807:_____/13:00395915 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Introduction to Survival Analysis

Popis výsledku v původním jazyce

Survival analysis is concerned with analyzing time-to-event data where the event of interest usually represents some type of ?failure. In clinical medicine, the event of interest may be e.g. death of a patient from well specified causes, autoimmune rejection of the graft by the transplant recipient or other type of graft failure in transplant studies. In certain situations, however, the true survival outcomes may not be observable, because we have observed a so called ?censoring event which prevented the event of interest from occurring. Such censoring event may represent, for instance, loss of a particular subject from follow-up, occurrence of administrative censoring, which typically takes place in clinical trials, or we may indeed observe other typeof ?failure, e.g. death from fatal injuries rather than from cardiovascular causes which were of primary interest in a particular clinical trial. In this article we will stress the importance of a key assumption relating censoring proces

Název v anglickém jazyce

Introduction to Survival Analysis

Popis výsledku anglicky

Survival analysis is concerned with analyzing time-to-event data where the event of interest usually represents some type of ?failure. In clinical medicine, the event of interest may be e.g. death of a patient from well specified causes, autoimmune rejection of the graft by the transplant recipient or other type of graft failure in transplant studies. In certain situations, however, the true survival outcomes may not be observable, because we have observed a so called ?censoring event which prevented the event of interest from occurring. Such censoring event may represent, for instance, loss of a particular subject from follow-up, occurrence of administrative censoring, which typically takes place in clinical trials, or we may indeed observe other typeof ?failure, e.g. death from fatal injuries rather than from cardiovascular causes which were of primary interest in a particular clinical trial. In this article we will stress the importance of a key assumption relating censoring proces

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 9th Summer School in Computational Biology. Stochastic Modelling in Epidemiology

ISBN

978-80-210-6305-1

ISSN

—

e-ISSN

—

Počet stran výsledku

13

Strana od-do

44-56

Název nakladatele

Masarykova Univerzita

Místo vydání

Brno

Místo konání akce

Svratka

Datum konání akce

10. 9. 2013

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—