swh:1:snp:ff0951ca787d0b7f47dc2335f47fed43820a6324
Tip revision: baa3a0f39e4ea7b973c6f69941906bb67bdcdd83 authored by Venkatraman E. Seshan on 24 March 2011, 00:00:00 UTC
version 0.9.6
version 0.9.6
Tip revision: baa3a0f
gsdesign.Rd
\name{gsdesign}
\title{Group Sequential Designs}
\alias{gsdesign}
\alias{gsdesign.binomial}
\alias{gsdesign.normal}
\alias{gsdesign.survival}
\description{
Functions to calculate sample size for group sequential designs
}
\usage{
gsdesign.binomial(ifrac, pC, pE, sig.level = 0.05, power = 0.8,
delta.eb=0.5, delta.fb = NULL, alternative = c("two.sided", "one.sided"),
tol=0.00001, ...)
gsdesign.normal(ifrac, delta, sd = 1, sig.level = 0.05, power = 0.8,
delta.eb = 0.5, delta.fb = NULL, alternative = c("two.sided", "one.sided"),
tol=0.00001, ...)
gsdesign.survival(ifrac, haz.ratio, sig.level = 0.05, power = 0.8,
delta.eb = 0.5, delta.fb = NULL, alternative = c("two.sided", "one.sided"),
tol=0.00001, ...)
}
\arguments{
\item{ifrac}{information fraction or the ratio of current sample size
or number of events to the total sample size or number of events.
This should be an increasing vector of numbers from 0 to 1 with the
last one being 1. If just 1 is given a fixed sample design is derived.}
\item{pC}{prob of success of the standard therapy (for binomial data)}
\item{pE}{prob of success of the experimental therapy (for binomial data)}
\item{delta}{true difference in means (for normal data)}
\item{sd}{standard deviation (for normal data)}
\item{haz.ratio}{hazard ratio (for survival comparison)}
\item{sig.level}{significance level (type I error probability)}
\item{power}{power of test (1 minus type II error probability)}
\item{delta.eb}{power for efficacy boundary in the Pocock (power=0) to
O'Brien-Fleming (power=0.5) family (default is 0.5)}
\item{delta.fb}{power for futility boundary in the Pocock (power=0) to
O'Brien-Fleming (power=0.5) family (default is NULL i.e. no futility
boundary is requested.)}
\item{alternative}{one- or two-sided test.}
\item{tol}{tolerance level for multivariate normal probability
computation.}
\item{...}{additional options passed on the pmvnorm function.}
}
\value{
a list with ifrac, sig.level, power, alternative, delta.eb, delta.fb and:
\item{efbdry}{the critical value to use at the different looks.}
\item{futbdry}{the critical value to use at the different looks.}
\item{sample.size}{the sample size per arm for binomial/normal data.}
\item{num.events}{the total number of failures which should be
converted to number of subjects using censoring proportion.}
}
\details{
The futility boundary is not returned when delta.fb is not specified
i.e. stopping for futility is not requested. The futility boundary is
non-binding. That is the significance level is not adjusted to account
for early stopping for utility. This makes the test a bit conservative
in that the true size is less than the nominal level.
}
\keyword{design}