Calculates the repeated p-values for a given test results.
Arguments
- stageResults
The results at given stage, obtained from
getStageResults().- ...
Ensures that all arguments (starting from the "...") are to be named and that a warning will be displayed if unknown arguments are passed.
- tolerance
The numerical tolerance, default is
1e-06. Must be a positive numeric of length 1.
Value
Returns a numeric vector of length kMax or in case of multi-arm stage results
a matrix (each column represents a stage, each row a comparison)
containing the repeated p values.
Details
The repeated p-value at a given stage of the trial is defined as the smallest significance level under which at given test design the test results obtain rejection of the null hypothesis. It can be calculated at each stage of the trial and can thus be used as a monitoring tool.
The repeated p-values are provided up to the specified stage.
In multi-arm trials, the repeated p-values are defined separately for each treatment comparison within the closed testing procedure.
See also
Other analysis functions:
getAnalysisResults(),
getClosedCombinationTestResults(),
getClosedConditionalDunnettTestResults(),
getConditionalPower(),
getConditionalRejectionProbabilities(),
getFinalConfidenceInterval(),
getFinalPValue(),
getRepeatedConfidenceIntervals(),
getStageResults(),
getTestActions()
Examples
if (FALSE) {
design <- getDesignInverseNormal(kMax = 2)
data <- getDataset(
n = c( 20, 30),
means = c( 50, 51),
stDevs = c(130, 140)
)
getRepeatedPValues(getStageResults(design, dataInput = data))
}