Tuesday, March 24, 2009

survival analysis using R

Survival Analysis

A great many studies in statistics deal with deaths or with failures of components: they involve the numbers of deaths, the iming of death, or the risks of death to which different classes of individuals are exposed. The analysis of survival data is a major focus of the statistics business (see Kalbfleisch and Prentice, 1980; Miller, 1981; Fleming and Harrington 1991), for which R supports a wide range of tools. The main theme of this chapter is the analysis of data that take the form of measurements of the time to death, or the time to failure of a component. Up to now, we have dealt with mortality data by considering the proportion of individuals that were dead at a given time. In this chapter each individual is followed until it dies, then the time of death is recorded (this will be the response variable). Individuals that survive tothe end of the experiment will die at an unknown time in the future; they are said to be censored (as explained below).

from Michael Crawley's The R Book (currently available in hardback on Amazon for a mere $88, 20% off the cover price of $110)

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