Conditional Dunnett Design

Trial design for conditional Dunnett tests.

Details

This object should not be created directly; use getDesignConditionalDunnett with suitable arguments to create a conditional Dunnett 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.
informationAtInterim: The information to be expected at interim, default is informationAtInterim = 0.5. Is a numeric vector of length 1 containing a value between 0 and 1.
secondStageConditioning: The way the second stage p-values are calculated within the closed system of hypotheses. If FALSE, the unconditional adjusted p-values are used, otherwise conditional adjusted p-values are calculated. 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.

Details

Fields

See also