One-sided exact / approximate permutation and asymptotic log-rank test
exactLR(B, formula, data = parent.frame(), type ="exact")
Arguments
B: number of random permutations (only used if type="approximate")
formula: a formula object, as used by coxph, left hand side must be a 'Surv' object, right hand side may only consist of a single term (treatment indicator)
data: data.frame or list containing the variables in "formula", by default "formula" is evaluated in the parent frame
type: if type="exact" performs complete enumeration of all permutations, if type="approximate" draw random permutations, if type="asymptotic" perform asymptotic log-rank test
Returns
A list containing the exact or approximate permutation p-value and the observed test statistic
Details
This function performs a standard exact or approximate permutation test which is only valid under the extended null hypothesis of equal survival AND censoring distributions.
Examples
T <- rexp(20)C <- rexp(20)data <- data.frame(time=pmin(T, C), status=(T<=C), trt=rbinom(20,1,0.5))# Approximate permutation test using 1000 random permutationsx <- exactLR(1000, Surv(time, status)~ trt, data,"approximate")print(paste("Approximate permutation p-value:", x$p))# Exact permutation testy <- exactLR(0, Surv(time, status)~ trt, data,"exact")print(paste("Exact permutation p-value:", y$p))