Preliminaries
The most immediate examples of survival data come from demography and actuarial science and concern the duration of human life. The issues of statistical analysis that arise are similar to those in many fields. Thus survival time may be the length of time before a piece of industrial equipment fails, the length of time before a firm becomes bankrupt, the duration of a period of employment or, particularly in a medical or epidemiological context, the time between diagnosis of a specific condition and death from that condition.
Depending on the perspective involved the term failure time may be used instead of survival time.
Central requirements are that for each study individual we have a clear time origin and a clear end point. For example, time may be measured from the instant an individual enters the study population and the end point may be death from a specific cause, or death (all causes) or cure. Normally the passage of time is clearly defined in the natural way....
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences and Further Reading
Aalen OO, Borgan O, Gjessing HK (2008) Survival and event history analysis. Springer, New York
Andersen PK, Borgan O, Gill RD, Keiding N (1993) Statistical models based on counting processes. Springer, New York
Cox DR, Oakes D (1984) Analysis of survival data. Chapman & Hall, London
Kalbfleisch JD, Prentice RL (2002) The statistical analysis of failure time data. 2nd edn. Wiley, New York
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this entry
Cite this entry
Cox, D.R. (2011). Survival Data. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_585
Download citation
DOI: https://doi.org/10.1007/978-3-642-04898-2_585
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04897-5
Online ISBN: 978-3-642-04898-2
eBook Packages: Mathematics and StatisticsReference Module Computer Science and Engineering