Learn R Programming

rpact (version 3.3.4)

TrialDesignConditionalDunnett: Conditional Dunnett Design

Description

Trial design for conditional Dunnett tests.

Arguments

Fields

kMax

The maximum number of stages K. Is a positive integer of length 1 (default value is 3). The maximum selectable kMax is 20 for group sequential or inverse normal and 6 for Fisher combination test designs.

alpha

The significance level alpha, default is 0.025. Is a positive numeric of length 1.

stages

The stage numbers of the trial. Is an integer vector of length kMax.

informationRates

The information rates (that must be fixed prior to the trial), default is (1:kMax) / kMax. Is a numeric vector of length kMax (the maximum number of stages).

userAlphaSpending

The user defined alpha spending. Numeric vector of length kMax containing the cumulative alpha-spending (Type I error rate) up to each interim stage: 0 <= alpha_1 <= ... <= alpha_K <= alpha.

criticalValues

The critical values for each stage of the trial. Is a numeric vector of length kMax (the maximum number of stages).

stageLevels

The levels for each stage.

alphaSpent

The cumulative alpha spent at each stage. Is a numeric vector with length kMax (the maximum number of stages).

bindingFutility

Logical. If bindingFutility = TRUE is specified 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).

tolerance

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

informationAtInterim

The information to be expected at interim, default is informationAtInterim = 0.5. Is a numeric vector of length 1.

secondStageConditioning

Logical. The way the second stage p-values are calculated within the closed system of hypotheses. If secondStageConditioning = FALSE is specified, the unconditional adjusted p-values are used, otherwise conditional adjusted p-values are calculated, default is secondStageConditioning = TRUE.

sided

Is the alternative one-sided (1) or two-sided (2), default is 1. Is a positive integer of length 1.

Details

This object should not be created directly; use getDesignConditionalDunnett() with suitable arguments to create a conditional Dunnett test design.

See Also

getDesignConditionalDunnett() for creating a conditional Dunnett test design.