AnalysisResultsFisher: Analysis Results Fisher
In rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

AnalysisResultsFisher

R Documentation

Analysis Results Fisher

Description

Class for analysis results based on a Fisher combination test design.

Details

This object cannot be created directly; use getAnalysisResults with suitable arguments to create the analysis results of a Fisher combination test design.

Fields

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.
thetaH0: The difference or assumed effect under H0. Is a numeric vector of length 1.
pi1: The assumed probability or probabilities in the active treatment group in two-group designs, or the alternative probability for a one-group design.
pi2: The assumed probability in the reference group for two-group designs. Is a numeric vector of length 1 containing a value between 0 and 1.
nPlanned: The sample size planned for each of the subsequent stages. Is a numeric vector of length kMax containing whole numbers.
allocationRatioPlanned: The planned allocation ratio (n1 / n2) for the groups. For multi-arm designs, it is the allocation ratio relating the active arm(s) to the control. Is a positive numeric vector of length 1.
thetaH1: The assumed effect under the alternative hypothesis. For survival designs, refers to the hazard ratio. Is a numeric vector.
assumedStDev: The assumed standard deviation(s) for means analysis. Is a numeric vector.
equalVariances: Describes if the variances in two treatment groups are assumed to be the same. Is a logical vector of length 1.
testActions: The test decisions at each stage of the trial. Is a character vector of length kMax.
conditionalRejectionProbabilities: The probabilities of rejecting the null hypothesis at each stage, given the stage has been reached. Is a numeric vector of length kMax containing values between 0 and 1.
conditionalPower: The conditional power at each stage of the trial. Is a numeric vector of length 1 containing a value between 0 and 1.
repeatedConfidenceIntervalLowerBounds: The lower bound of the confidence intervals that are calculated at any stage of the trial. Is a numeric vector of length kMax.
repeatedConfidenceIntervalUpperBounds: The upper bound of the confidence interval that are calculated at any stage of the trial. Is a numeric vector of length kMax.
repeatedPValues: The p-values that are calculated at any stage of the trial. Is a numeric vector of length kMax containing values between 0 and 1.
finalStage: The stage at which the trial ends, either with acceptance or rejection of the null hypothesis. Is a numeric vector of length 1.
finalPValues: The final p-value that is based on the stage-wise ordering. Is a numeric vector of length kMax containing values between 0 and 1.
finalConfidenceIntervalLowerBounds: The lower bound of the confidence interval that is based on the stage-wise ordering. Is a numeric vector of length kMax.
finalConfidenceIntervalUpperBounds: The upper bound of the confidence interval that is based on the stage-wise ordering. Is a numeric vector of length kMax.
medianUnbiasedEstimates: The calculated median unbiased estimates that are based on the stage-wise ordering. Is a numeric vector of length kMax.
conditionalPowerSimulated: The simulated conditional power, under the assumption of observed or assumed effect sizes.
iterations: The number of iterations used for simulations. Is a numeric vector of length 1 containing a whole number.
seed: The seed used for random number generation. Is a numeric vector of length 1.