MOŽNOSTI VYUŽITÍ ANALÝZY PŘEŽÍVÁNÍ V BIOMEDICÍNĚ A TECHNICE

K. Langová, J. Zapletalová, L. Ličman

Abstract


The goal of this paper is to introduce a less known area of the statistics – survival analysis. The main feature of data files that are investigated using survival analysis methods is the fact, that they contain censored data besides the final data. The censored data arise when the time to occurrence of a given event at the object is observed and the event does not occur in the time of observation. We have only non-complete time data. In this paper there is described how it is possible to estimate and interpret the survival function, survival median and mean. The paper focuses on a comparison of two survival functions.

Keywords


survival analysis; censored data; Kaplan-Meier curve; survival median and survival mean; log-rank test; generalized Wilcoxon test

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This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN 0301-5491 (Print)
ISSN 2336-5552 (Online)
Published by the Czech Society for Biomedical Engineering and Medical Informatics and the Faculty of Biomedical Engineering, Czech Technical University in Prague.