getRepeatedPValues: Get Repeated P Values

In rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

Get Repeated P Values

Description

Calculates the repeated p-values for a given test results.

Usage

getRepeatedPValues(stageResults, ..., tolerance = 1e-06)

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.

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.

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.

Note on the dependency of mnormt

If intersectionTest = "Dunnett" or intersectionTest = "SpiessensDebois", or the design is a conditional Dunnett design and the dataset is a multi-arm or enrichment dataset, rpact uses the R package mnormt to calculate the analysis results.

See Also

Other analysis functions: getAnalysisResults(), getClosedCombinationTestResults(), getClosedConditionalDunnettTestResults(), getConditionalPower(), getConditionalRejectionProbabilities(), getFinalConfidenceInterval(), getFinalPValue(), getRepeatedConfidenceIntervals(), getStageResults(), getTestActions()

Examples

## Not run: 
design <- getDesignInverseNormal(kMax = 2)
data <- getDataset(
    n      = c( 20,  30),
    means  = c( 50,  51),
    stDevs = c(130, 140)
)
getRepeatedPValues(getStageResults(design, dataInput = data))

## End(Not run)

rpact documentation built on July 9, 2023, 6:30 p.m.