Stage Results Multi Arm Survival — StageResultsMultiArmSurvival • rpact

Class for stage results of multi arm survival data

Details

This object cannot be created directly; use getStageResults with suitable arguments to create the stage results of a dataset of multi arm survival.

Fields

stages: The stage numbers of the trial. Is a numeric vector of length kMax containing whole numbers.
testStatistics: The stage-wise test statistics. Is a numeric vector of length kMax.
pValues: The stage-wise p-values. Is a numeric vector of length kMax containing values between 0 and 1.
combInverseNormal: The test statistics over stages for the inverse normal test. Is a numeric vector of length kMax.
combFisher: The test statistics over stages for Fisher's combination test. Is a numeric vector of length kMax containing values between 0 and 1.
effectSizes: The stage-wise effect sizes. Is a numeric vector of length kMax.
testActions: The test decisions at each stage of the trial. Is a character vector of length kMax.
weightsFisher: The weights for Fisher's combination test. Is a numeric vector of length kMax.
weightsInverseNormal: The weights for the inverse normal statistic. Is a numeric vector of length kMax.
combInverseNormal: The test statistics over stages for the inverse normal test. Is a numeric vector of length kMax.
combFisher: The test statistics over stages for Fisher's combination test. Is a numeric vector of length kMax containing values between 0 and 1.
overallTestStatistics: The overall, i.e., cumulated test statistics. Is a numeric vector of length kMax.
overallPValues: The overall, i.e., cumulated p-values. Is a numeric vector of length kMax containing values between 0 and 1.
testStatistics: The stage-wise test statistics. Is a numeric vector of length kMax.
separatePValues: The p-values from the separate stages. Is a numeric matrix.
effectSizes: The stage-wise effect sizes. Is a numeric vector of length kMax.
singleStepAdjustedPValues: The adjusted p-value for testing multiple hypotheses per stage of the trial.
intersectionTest: The multiple test used for intersection hypotheses in closed systems of hypotheses. Is a character vector of length 1.
directionUpper: Specifies the direction of the alternative, only applicable for one-sided testing. Default is TRUE which means that larger values of the test statistics yield smaller p-values. Is a logical vector of length 1.