Stage Results Multi Arm Survival

Description

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.