epi.insthaz {epiR}R Documentation

Instantaneous hazard computed on the basis of a Kaplan-Meier survival function

Description

Compute the instantaneous hazard on the basis of a Kaplan-Meier survival function.

Usage

epi.insthaz(survfit.obj, conf.level = 0.95)

Arguments

survfit.obj a survfit object, computed using the survival package.
conf.level magnitude of the returned confidence interval. Must be a single number between 0 and 1.

Details

Computes the instantaneous hazard of failure, equivalent to the proportion of the population failing per unit time.

Value

A data frame with three elements: time the observed failure times, est the proportion of the population failing per unit time, lower the lower bounds of the confidence interval, and upper the upper bounds of the confidence interval.

References

Venables W, Ripley B (2002). Modern Applied Statistics with S, fourth edition. Springer, New York, pp. 353 - 385.

Singer J, Willett J (2003). Applied Longitudinal Data Analysis Modeling Change and Event Occurrence. Oxford University Press, London, pp. 348.

Examples

library(survival)
ovarian.km <- survfit(Surv(futime,fustat) ~ 1, data = ovarian)

ovarian.haz <- epi.insthaz(ovarian.km, conf.level = 0.95)
plot(ovarian.haz$time, ovarian.haz$est, xlab = "Days", 
   ylab = "Instantaneous hazard", type = "b", pch = 16)


[Package epiR version 0.9-15 Index]