SurvivalDataDistribution-class: Log-rank test

In adoptr: Adaptive Optimal Two-Stage Designs

Log-rank test

Description

Implements the normal approximation of the log-rank test statistic.

Usage

Survival(event_rate, two_armed = TRUE)

## S4 method for signature 'Survival'
quantile(x, probs, n, theta, ...)

## S4 method for signature 'Survival,numeric'
simulate(object, nsim, n, theta, seed = NULL, ...)

Arguments

event_rate	probability that a subject will eventually have an event
two_armed	logical indicating if a two-armed trial is regarded
x	outcome
probs	vector of probabilities
n	sample size
theta	distribution parameter
...	further optional arguments
object	object of class Survival
nsim	number of simulation runs
seed	random seed

Slots

event_rate

cf. parameter 'event_rate'

See Also

see probability_density_function and cumulative_distribution_function to evaluate the pdf and the cdf, respectively.

Examples

datadist <- Survival(event_rate=0.6, two_armed=TRUE)

adoptr documentation built on Oct. 3, 2024, 1:08 a.m.