Revision baa3a0f39e4ea7b973c6f69941906bb67bdcdd83 authored by Venkatraman E. Seshan on 24 March 2011, 00:00:00 UTC, committed by Gabor Csardi on 24 March 2011, 00:00:00 UTC
1 parent 25ed6d7
toxbdry.Rd
\name{toxbdry}
\title{Stopping rule for toxicity monitoring}
\alias{toxbdry}
\alias{bdrycross.prob}
\alias{print.toxbdry}
\keyword{design}
\description{
Computes a stopping rule and its operating characteristics for
toxicity monitoring based repeated significance testing.
}
\usage{
toxbdry(pLo, pHi, n, cP0=0.1, cP1=0.9, ngrid=6, niter=5,
priority=c("null","alt"))
bdrycross.prob(n, r, ptox)
\method{print}{toxbdry}(x, \dots)
}
\arguments{
\item{pLo}{the toxicity rate that is acceptable.}
\item{pHi}{the toxicity rate that is too high and hence unacceptable.}
\item{n}{vector of times (sample size) when toxicty is moniroted.}
\item{r}{vector of maximum acceptable toxicities corresponding to n.}
\item{ptox}{the toxicity rates for which the operating characteristics
are calculated.}
\item{cP0}{boundary crossing probability under pLo i.e. type I error
or the probability of declaring a treatment with toxicity rate pLo
unacceptable.}
\item{cP1}{boundary crossing probability under pHi i.e. power or the
probability of declaring a treatment with toxicity rate pHi
unacceptable.}
\item{ngrid}{the number of toxicity rates from pLo to pHi for which
the operating characteristics are computed.}
\item{niter}{the number of iterations run to obtain the boundary.}
\item{priority}{the error threshold to prioritize when the max sample
size is too small to have both error thresholds satisfied. Default
is the null i.e. error under pLo.}
\item{x}{object returned by the function toxbdry.}
\item{...}{additional arguments to print.}
}
\value{
the function returns a list with:
\item{looks}{when toxicty is monitored - same as input n.}
\item{lo.bdry}{lower boundary is a vector of maximum acceptable number
of toxicities corresponding the number of subjects in n. The
boundary crossing probability for this is slightly above cP0.}
\item{hi.bdry}{upper boundary is a vector of maximum acceptable number
of toxicities corresponding the number of subjects in n. The
boundary crossing probability for this is slightly below cP0.}
\item{bdry.oc}{the operating characteristics i.e the toxicity
rate, the probability of crossing, stopping (i.e. cross before the
last observation) and the expected sample size for both the low (lo)
and high (hi) boundaries.}
\item{bdry.alpha}{the alpha levels for testing at each look for the
two boundaries.}
stopping for toxicity is done when the number of toxicities exceeda
the boundary i.e. the boundary gives the maximum acceptable number.
}
\examples{
toxbdry(0.2, 0.35, c(20,40,60,75))
toxbdry(0.2, 0.3, c(20,40,60,75), cP0=0.15, cP1=0.8)
toxbdry(0.1, 0.3, 2:30) # continuous monitoring
toxbdry(0.1, 0.3, 2:25, priority="alt") # prioritize cP1 error threshold
}
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