Basic Principles of Survival Analysis

  • Dirk F. Moore
Part of the Use R! book series (USE R)


Survival analysis methods depend on the survival distribution, and two key ways of specifying it are the survival function and the hazard function . The survival function defines the probability of surviving up to a point t. Formally,
$$\displaystyle{S(t) = pr(T > t),\begin{array}{cc} &0 < t < \infty \end{array} }$$
This function takes the value 1 at time 0, decreases (or remains constant) over time, and of course never drops below 0. As defined here it is right continuous.


Exponential Distribution Hazard Function Survival Function Weibull Distribution Survival Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Dirk F. Moore
    • 1
  1. 1.Department of BiostatisticsRutgers School of Public HealthPiscatawayUSA

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