survEndp: Representation of survival endpoints

In randomizeR: Randomization for Clinical Trials

Representation of survival endpoints

Description

Represents survival endpoints in clinical trials.

Usage

survEndp(
  cenRate,
  accrualTime = 0,
  cenTime,
  shape,
  scale,
  weights = c(0, 0),
  maxcombo = FALSE
)

Arguments

cenRate	exponential censoring rate in a survival study.
accrualTime	duration of the accrual period in a survival study.
cenTime	total duration of a survival study (maximum length of followup).
shape	parameter of the Weibull distribution (must be positive)
scale	parameter of the Weibull distribution (must be positive)
weights	numeric specifying the weights used for the test. Unless specified an unweighted test is conducted.
maxcombo	logical specifying if the maxcombo test is used

Details

The survEnd function is a constructor function for an S4 object of the class survEnd representing a survival endpoint in a clinical trial.

Value

A S4 object representing a survival endpoint in a clinical trial.

See Also

Compute exact or simulated type-I-error: assess.

Other endpoint types: expEndp, normEndp

randomizeR documentation built on Sept. 19, 2023, 1:08 a.m.