Original language | English |
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Title of host publication | International Encyclopedia of the Social & Behavioral Sciences |
Editors | James D. Wright |
Number of pages | 5 |
Publisher | Elsevier Science Inc. |
Publication date | 2015 |
Edition | 2nd |
Pages | 771-775 |
ISBN (Print) | 9780080970868 |
ISBN (Electronic) | 9780080970875 |
DOIs | |
Publication status | Published - 2015 |
Survival Analysis: Introduction
Research output: Chapter in Book/Report/Conference proceeding › Encyclopedia chapter › Research › peer-review
Survival analysis is the study of the distribution of time-to-event data, that is, the times from an initiating event to some terminal event. A distinguishing feature of survival data is the occurrence of right censoring, where the terminal event for some individuals is not observed; instead, it is only known that this event is at least later than a given point in time. This article presents a brief historical review and focuses on central statistical approaches: non- and semiparametric estimation (Kaplan-Meier, Cox regression) and hypothesis testing (log-rank). We also add brief comments on parametric models and list some important reference works.
- Aalen additive hazards model, Accelerated failure time model, Censored data, Cox regression, Expected survival, Kaplan-Meier estimator, Log-rank test, Nelson-Aalen estimator, Poisson regression, Time-to-event data
Research areas
ID: 201449333