expEndp: Representation of exponentially distributed endpoints

In randomizeR: Randomization for Clinical Trials

Representation of exponentially distributed endpoints

Description

Represents exponentially distributed endpoints in clinical trials.

Usage

expEndp(lambda, cenRate, accrualTime = 0, cenTime)

Arguments

lambda	vector of the exponential rate parameters in each treatment group.
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).

Details

The expEnd function is a constructor function for an S4 object of the class expEnd representing an exponentially distributed endpoint in a clinical trial. In conjunction with the assess function, exponential endpoints admit the calculation of the 'exact' type-I-error probability and power using an approximation formula.

Value

A S4 object representing an exponentially distributed endpoint in a clinical trial.

See Also

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

Other endpoint types: normEndp, survEndp

Examples

# set the parameters of two exponentially distributed endpoints
endp <- expEndp(lambda = c(1, 2), cenTime = 10, cenRate = 0.01)

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