Fisher Design

Trial design for Fisher's combination test.

Details

This object should not be created directly; use getDesignFisher with suitable arguments to create a Fisher combination test design.

Fields

kMax: The maximum number of stages K. Is a single numeric value representing a whole number.
alpha: The significance level alpha, default is 0.025. Is a single numeric value between 0 and 1.
stages: The stage numbers of the trial. Is a numeric vector of length kMax containing whole numbers.
informationRates: The information rates (that must be fixed prior to the trial), default is (1:kMax) / kMax. Is a numeric vector of length kMax containing values between 0 and 1.
userAlphaSpending: The user defined alpha spending. Contains the cumulative alpha-spending (type I error rate) up to each interim stage. Is a numeric vector of length kMax containing values between 0 and 1.
criticalValues: The critical values for each stage of the trial. Is a numeric vector of length kMax.
stageLevels: The adjusted significance levels to reach significance in a group sequential design. Is a numeric vector of length kMax containing values between 0 and 1.
alphaSpent: The cumulative alpha spent at each stage. Is a numeric vector of length kMax containing values between 0 and 1.
bindingFutility: If TRUE, the calculation of the critical values is affected by the futility bounds and the futility threshold is binding in the sense that the study must be stopped if the futility condition was reached (default is FALSE) Is a single logical value.
tolerance: The numerical tolerance, default is 1e-06. Is a single numeric value.
method: "equalAlpha", "fullAlpha", "noInteraction", or "userDefinedAlpha", default is "equalAlpha". For details, see Wassmer, 1999, doi: 10.1002/(SICI)1521-4036(199906)41:3%3C279::AID-BIMJ279%3E3.0.CO;2-V.
alpha0Vec: The stopping for futility bounds for stage-wise p-values in Fisher's combination test. Is a numeric vector of length kMax minus 1 containing values between 0 and 1.
scale: The scale for Fisher's combination test. Numeric vector of length kMax-1 that applies to Fisher's design with unequally spaced information rates. Is a numeric vector of length kMax minus 1 containing values between 0 and 1.
nonStochasticCurtailment: If TRUE, the stopping rule is based on the phenomenon of non-stochastic curtailment rather than stochastic reasoning. Is a single logical value.
sided: Describes if the alternative is one-sided (1) or two-sided (2). Is a single numeric value representing a whole number.
simAlpha: The observed alpha error if simulations have been performed. Is a single numeric value between 0 and 1.
iterations: The number of iterations used for simulations. Is a single numeric value representing a whole number.
seed: The seed used for random number generation. Is a single numeric value.

Details

Fields

See also