estimateNAH: Neslon-Aalen Estimator of the Cumulative Hazard Function

In jhoupt/sft: Functions for Systems Factorial Technology Analysis of Data

Description

Computes the Nelson-Aalen estimator of a cumulative hazard function.

Usage

estimateNAH(RT, CR)

Arguments

RT	A vector of times at which an event occurs (e.g., a vector of response times).
CR	A vector of status indicators, 1=normal, 0=censored. For response time data, this corresponds to 1=correct, 0=incorrect.

Details

The Nelson-Aalen estimator of the cumulative hazard function is a step function with jumps at each event time. The jump size is given by the number at risk up until immediately before the event. If Y(t) is the number at risk immediately before t, then the N-A estimator is given by:

H(t) = sum(s in {Event Times < t}) 1/Y(s)

Value

H	A function of class "stepfun" that returns the Nelson-Aalen estimator of the cumulative hazard function.
Var	A function of class "stepfun" that returns the estimated variance of the Nelson-Aalen estimator of the cumulative hazard function.

Author(s)

Joe Houpt <[e-mail]>

References

Aalen, O. O., Borgan, O., & Gjessing, H. K. (2008). Survival and event history analysis: A process point of view. New York: Springer.

See Also

estimateNAK stepfun

Examples

x <- rexp(50, rate=.5)
censoring <- runif(50) < .90
H.NA <- estimateNAH(x, censoring)

# Plot the estimated cumulative hazard function
plot(H.NA$H, 
  main="Cumulative Hazard Function\n X ~ Exp(.5)    n=50", 
  xlab="X", ylab="H(x)")

# Plot 95% Confidence intervals
times <- seq(0,10, length.out=100)
lines(times, H.NA$H(times) + sqrt(H.NA$Var(times))*qnorm(1-.05/2), lty=2)
lines(times, H.NA$H(times) - sqrt(H.NA$Var(times))*qnorm(1-.05/2), lty=2)

# Plot the true cumulative hazard function
abline(0,.5, col='red')

jhoupt/sft documentation built on Aug. 8, 2019, 7:49 p.m.