# Ch1E-SCtoBdry: Converts a stochastic curtailment boundary (conditional type... In PwrGSD: Power in a Group Sequential Design

## Description

Converts a stochastic curtailment boundary (conditional type I or II error probability) into a (efficacy or futility) boundary on the standardized Z scale

## Usage

 `1` ```SCtoBdry(prob, frac, be.end, drift = NULL, drift.end = NULL) ```

## Arguments

 `prob` The stochastic curtailment thresh-hold probability, which is the complement of the type I (efficacy) or II (futility) error. We typically use 0.90 which will stop for efficacy if the probability under the null that the final analysis results in an efficacious decision given the data so far exceeds 0.90, and stops for futility of the probability under the alternative corresponding to the drift arguments, that the final analysis results in a futility decision given the data so far, exceeds 0.90. `frac` The variance ratio. See the `GrpSeqBnds` documentation for details. `be.end` Value of efficacy (futility) boundary at the final analysis `drift` The drift function. See the `GrpSeqBnds` documentation for details. `drift.end` Required if using a futility boundary. This is the value of the drift function at the final analysis. Must be projected using the trial design.

## Value

A efficacy or futility boundary on the standard normal scale

Grant Izmirlian

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27``` ``` ## Here we show how to convert a stochastic curtailment procedure for ## futility into a futility boundary on the standard normal scale library(PwrGSD) ## Values of the information fraction at interim analyses -- ## the sequence does not have to include the last analysis frac <- c(0.16, 0.32, 0.54, 0.83, 1.0) ## values drift at interim analyses corresponding to values of ## frac given above drift <- c(0.69, 1.09, 1.54, 2.08, 2.35) ## value of the drift at the final analysis (from the design or ## projected drift.end <- drift[5] ## value of the efficacy boundary at the final analysis be.end <- 1.69 ## stochastic curtailment threshhold probability -- if the probability of rejecting the ## null hypothesis by the scheduled end of the trial, under the alternative hypothesis, ## and conditional upon the current value of the statistic, is not greater than ## prob.thresh, then stop for futility. prob.thresh <- 0.90 ## computes equivalent futility boundary points on the standard normal scale SCtoBdry(prob.thresh, frac=frac, be.end=be.end, drift=drift, drift.end=drift.end) ```

PwrGSD documentation built on April 1, 2018, 12:08 p.m.