TrialDesignPlanCountData: Trial Design Plan Count Data

TrialDesignPlanCountDataR Documentation

Trial Design Plan Count Data

Description

Trial design plan for count data.

Details

This object cannot be created directly; use getSampleSizeCounts() with suitable arguments to create a design plan for a dataset of rates.

Fields

thetaH0

The difference or assumed effect under H0. Is a numeric vector of length 1.

groups

The group numbers. Is a numeric vector.

allocationRatioPlanned

The planned allocation ratio (n1 / n2) for the groups. For multi-arm designs, it is the allocation ratio relating the active arm(s) to the control. Is a positive numeric vector of length 1.

optimumAllocationRatio

The allocation ratio that is optimum with respect to the overall sample size at given power. Is a logical vector of length 1.

directionUpper

Specifies the direction of the alternative, only applicable for one-sided testing. Default is TRUE which means that larger values of the test statistics yield smaller p-values. Is a logical vector of length 1.

lambda1

The assumed hazard rate in the treatment group. Is a numeric vector of length kMax.

lambda2

The assumed hazard rate in the reference group. Is a numeric vector of length 1.

lambda

A numeric value or vector that represents the assumed rate of a homogeneous Poisson process in the pooled treatment groups Is a numeric vector.

theta

A vector of standardized effect sizes (theta values). Is a numeric vector.

nFixed

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

nFixed1

The sample size in treatment arm 1 in a fixed (one-stage) design. Is a positive numeric vector.

nFixed2

The sample size in treatment arm 2 in a fixed (one-stage) design. Is a positive numeric vector.

maxNumberOfSubjects

The maximum number of subjects for power calculations. Is a numeric vector.

maxNumberOfSubjects1

The maximum number of subjects in treatment arm 1. Is a numeric vector.

maxNumberOfSubjects2

The maximum number of subjects in treatment arm 2. Is a numeric vector.

overallReject

The overall rejection probability. Is a numeric vector.

rejectPerStage

The probability to reject a hypothesis per stage of the trial. Is a numeric matrix.

futilityStop

In simulation results data set: indicates whether trial is stopped for futility or not.

futilityPerStage

The per-stage probabilities of stopping the trial for futility. Is a numeric matrix.

earlyStop

The probability to stopping the trial either for efficacy or futility. Is a numeric vector.

overdispersion

A numeric value that represents the assumed overdispersion of the negative binomial distribution Is a numeric vector.

fixedExposureTime

If specified, the fixed time of exposure per subject for count data Is a numeric vector.

accrualTime

The assumed accrual time intervals for the study. Is a numeric vector.

accrualIntensity

The absolute accrual intensities. Is a numeric vector of length kMax.

followUpTime

The assumed follow-up time for the study. Is a numeric vector of length 1.

calendarTime

The calendar time Is a numeric vector.

expectedStudyDurationH1

The expected study duration under H1 Is a numeric vector.

studyTime

The study time Is a numeric vector.

numberOfSubjects

In simulation results data set: The number of subjects under consideration when the interim analysis takes place.

expectedNumberOfSubjectsH1

The expected number of subjects under H1. Is a numeric vector.

informationOverStages

The information over stages Is a numeric vector.

expectedInformationH0

The expected information under H0 Is a numeric vector.

expectedInformationH01

The expected information under H0/H1 Is a numeric vector.

expectedInformationH1

The expected information under H1 Is a numeric vector.

maxInformation

The maximum information. Is a numeric vector of length 1 containing a whole number.

futilityBoundsPValueScale

The futility bounds for each stage of the trial on the p-value scale. Is a numeric matrix.


rpact documentation built on May 29, 2024, 11:20 a.m.