Survival analysis in R

Survival analysis in R Survival analysis is a technique that is widely used in research and industry as studies or problems involving waiting time to an event(s) become frequent. Engineers might prefer to use the term reliability analysis while economists... More

Survival analysis in R Survival analysis is a technique that is widely used in research and industry as studies or problems involving waiting time to an event(s) become frequent. Engineers might prefer to use the term reliability analysis while economists might prefer duration analysis or duration modeling for example. In this article we begin a simple case where interest is in describing the survival experience of a set of cases without the intention of linking the time to event to explanatory variables. The extension, at least the programming level, by including explanatory variables is straightforward. In this simple case of survival analysis one can either choose between a non-parametric and a parametric method to analyze the data. In a non-parametric case, as opposed to a parametric case, no statistical distributional assumptions are made about the time to event. The common non-parametric method for describing survival time is the Kaplan-Meier (KM) estimator. The strength of param Less