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Introduction to Survival Analysis

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Introduction to Survival Analysis

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    978-80-210-6305-1

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    44-56

  • Publisher name

    Masarykova Univerzita

  • Place of publication

    Brno

  • Event location

    Svratka

  • Event date

    Sep 10, 2013

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article