Get Closed Conditional Dunnett Test Results

Calculates and returns the results from the closed conditional Dunnett test.

Usage

getClosedConditionalDunnettTestResults(
  stageResults,
  ...,
  stage = stageResults$stage
)

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.

stage

The stage number (optional). Default: total number of existing stages in the data input.

Value

Returns a ClosedCombinationTestResults object. The following generics (R generic functions) are available for this result object:

• names() to obtain the field names,

• print() to print the object,

• summary() to display a summary of the object,

• plot() to plot the object,

• as.data.frame() to coerce the object to a data.frame,

• as.matrix() to coerce the object to a matrix.

Details

For performing the conditional Dunnett test the design must be defined through the function getDesignConditionalDunnett().
See Koenig et al. (2008) and Wassmer & Brannath (2016), chapter 11 for details of the test procedure.

How to get help for generic functions

Click on the link of a generic in the list above to go directly to the help documentation of the rpact specific implementation of the generic. Note that you can use the R function methods to get all the methods of a generic and to identify the object specific name of it, e.g., use methods("plot") to get all the methods for the plot generic. There you can find, e.g., plot.AnalysisResults and obtain the specific help documentation linked above by typing ?plot.AnalysisResults.

See also

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

Examples

if (FALSE) { # \dontrun{
# In a two-stage design a conditional Dunnett test should be performed
# where the  unconditional second stage p-values should be used for the
# test decision.
# At the first stage the second treatment arm was dropped. The results of
# a closed conditionsal Dunnett test are obtained as follows with the given
# data (treatment arm 4 refers to the reference group):
data <- getDataset(
    n1 = c(22, 23),
    n2 = c(21, NA),
    n3 = c(20, 25),
    n4 = c(25, 27),
    means1 = c(1.63, 1.51),
    means2 = c(1.4, NA),
    means3 = c(0.91, 0.95),
    means4 = c(0.83, 0.75),
    stds1 = c(1.2, 1.4),
    stds2 = c(1.3, NA),
    stds3 = c(1.1, 1.14),
    stds4 = c(1.02, 1.18)
)

# For getting the results of the closed test procedure, use the following commands:
design <- getDesignConditionalDunnett(secondStageConditioning = FALSE)
stageResults <- getStageResults(design, dataInput = data)
getClosedConditionalDunnettTestResults(stageResults)
} # }