Trial Design Characteristics

Description

Class for trial design characteristics.

Details

TrialDesignCharacteristics contains all fields required to collect the characteristics of a design. This object should not be created directly; use getDesignCharacteristics with suitable arguments to create it.

Fields

nFixed

The sample size in a fixed (one-stage) design. Is a positive numeric vector.

shift

The shift value for group sequential test characteristics. Is a numeric vector of length 1.

inflationFactor

The relative increase of maximum sample size in a group sequential design as compared to the fixed sample size case. Is a positive numeric vector of length 1.

stages

The stage numbers of the trial. Is a numeric vector of length kMax containing whole numbers.

information

The information over stages needed to achieve power of the specified design. Is a numeric vector of length kMax.

power

The one-sided power at each stage of the trial. Is a numeric vector of length kMax containing values between 0 and 1.

rejectionProbabilities

The rejection probabilities over treatments arms or populations and stages. Is a numeric vector.

futilityProbabilities

The overall probabilities of stopping the trial for futility. Is a numeric vector of length kMax minus 1 containing values between 0 and 1.

averageSampleNumber1

The expected sample size under H1. Is a positive numeric vector of length 1.

averageSampleNumber01

The expected sample size for a value between H0 and H1. Is a positive numeric vector of length 1.

averageSampleNumber0

The expected sample size under H0. Is a positive numeric vector of length 1.

See Also

getDesignCharacteristics for getting the design characteristics.