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GroupSeq (version 1.0)

computeConfidenceIntervall: Computes confidence intervals

Description

Computes confidence intervals, see Kim & DeMets 87. Given n interim analyses, bounds for the first n-1 and the standardized statistic for the nth, the function finds drift parameters satisfying confidence limit equations.

Usage

computeConfidenceIntervall(confidenceLevel, Zvalue, n, t, t2, lowerBounds, upperBounds, nMax)

Arguments

confidenceLevel
is confidence level.
Zvalue
is the Z statistic at the most recent analysis.
n
is the number of analyses.
t
is the vector of analysis time point on (0,1).
t2
is the second or information time scale, for covariances
lowerBounds
is the vector of lower bounds (standardized).
upperBounds
is the vector of upper bounds (standardized).
nMax
maximum Number of interim analyses (default: nMax=25)

Value

  • confidenceLimitthe calculated confidence interval

References

Kim & DeMets 1987 Biometrics http://www.biostat.wisc.edu/landemets/

See Also

groupseq, qnorm computeDrift

Examples

Run this code
## fictious example
computeConfidenceIntervall(0.05, 1.7, 2, c(0.5,1.0), c(0.5,1.0), c(-1,0), c(1,2), 25)
## with following result:
# [1] 1.115315 1.264942

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