TrialDesignPlanCountData | R Documentation |
Trial design plan for count data.
This object cannot be created directly; use getSampleSizeCounts()
with suitable arguments to create a design plan for a dataset of rates.
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.
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