TrialDesignFisher: Fisher Design

In rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

Fisher Design

Description

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 numeric vector of length 1 containing a whole number.

alpha

The significance level alpha, default is 0.025. Is a numeric vector of length 1 containing a 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 logical vector of length 1.

tolerance

The numerical tolerance, default is 1e-06. Is a numeric vector of length 1.

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 logical vector of length 1.

sided

Describes if the alternative is one-sided (1) or two-sided (2). Is a numeric vector of length 1 containing a whole number.

simAlpha

The observed alpha error if simulations have been performed. Is a numeric vector of length 1 containing a value between 0 and 1.

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.

See Also

getDesignFisher for creating a Fisher combination test design.

rpact documentation built on Aug. 12, 2025, 1:06 a.m.