Stage Results Enrichment Means — StageResultsEnrichmentMeans • rpact

Class for stage results of enrichment means data

Details

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

Fields

stages: The stage numbers of the trial. Is a numeric vector of length kMax containing whole numbers.
thetaH0: The difference or assumed effect under H0. Is a numeric vector of length 1.
direction: Specifies the direction of the alternative, is either "upper" or "lower". Only applicable for one-sided testing.
normalApproximation: Describes if a normal approximation was used when calculating p-values. Default for means is FALSE and TRUE for rates and hazard ratio. Is a logical 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.
varianceOption: Defines the way to calculate the variance in multiple (i.e., >2) treatment arms or population enrichment designs when testing means. Available options for multiple arms: "overallPooled", "pairwisePooled", "notPooled". Available options for enrichment designs: "pooled", "pooledFromFull", "notPooled".
intersectionTest: The multiple test used for intersection hypotheses in closed systems of hypotheses. Is a character vector of length 1.
testStatistics: The stage-wise test statistics. Is a numeric vector of length kMax.
overallTestStatistics: The overall, i.e., cumulated 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.
overallPValues: The overall, i.e., cumulated p-values. Is a numeric vector of length kMax containing values between 0 and 1.
overallStDevs: The overall, i.e., cumulative standard deviations. Is a numeric vector of length number of stages times number of groups.
overallPooledStDevs: The overall pooled standard deviations. Is a numeric matrix.
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.
stratifiedAnalysis: For enrichment designs, typically a stratified analysis should be chosen. When testing means and rates, a non-stratified analysis can be performed on overall data. For survival data, only a stratified analysis is possible. Is a logical vector of length 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.
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.