Class for Simulation Results Multi-Arm Survival — SimulationResultsMultiArmSurvival • rpact

A class for simulation results survival in multi-arm designs.

Details

Use getSimulationMultiArmSurvival() to create an object of this type.

Fields

accrualIntensity: The absolute accrual intensities. Is a numeric vector of length kMax.
accrualTime: The assumed accrual time intervals for the study. Is a numeric vector.
activeArms: The number of active treatment arms to be compared with control. Is a single numeric value representing a whole number.
adaptations: Indicates whether or not an adaptation takes place at interim k. Is a logical vector of length kMax minus 1.
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 single positive numeric value.
conditionalPower: The conditional power at each stage of the trial. Is a single numeric value between 0 and 1.
conditionalPowerAchieved: The calculated conditional power, under the assumption of observed or assumed effect sizes. Is a numeric matrix.
correlationComputation: If "alternative", a correlation matrix according to Deng et al. (Biometrics, 2019) accounting for the respective alternative is used for simulating log-rank statistics in the many-to-one design. If "null", a constant correlation matrix valid under the null hypothesis is used.
cumulativeEventsPerStage: The cumulative number of events per stage. Is a numeric matrix.
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 single logical value.
dropoutRate1: The assumed drop-out rate in the treatment group. Is a single numeric value between 0 and 1.
dropoutRate2: The assumed drop-out rate in the control group. Is a single numeric value between 0 and 1.
dropoutTime: The assumed time for drop-out rates in the control and treatment group. Is a single numeric value.
earlyStop: The probability to stopping the trial either for efficacy or futility. Is a numeric vector.
effectMatrix: The matrix of effect sizes with activeArms columns and number of rows reflecting the different situations to consider.
epsilonValue: Needs to be specified if typeOfSelection = "epsilon". Is a single numeric value.
eventsPerStage: Deprecated: use singleEventsPerStage or cumulativeEventsPerStage instead Is a numeric matrix.
eventTime: The assumed time under which the event rates are calculated. Is a single numeric value.
expectedNumberOfEvents: The expected number of events under specified alternative. Is a numeric vector.
expectedNumberOfSubjects: The expected number of subjects under specified alternative.
futilityPerStage: The per-stage probabilities of stopping the trial for futility. Is a numeric matrix.
futilityStop: In simulation results data set: indicates whether trial is stopped for futility or not.
gED50: The ED50 of the sigmoid Emax model. Only necessary if typeOfShape = "sigmoidEmax" has been specified. Is a single numeric value.
intersectionTest: The multiple test used for intersection hypotheses in closed systems of hypotheses. Is a single character value.
iterations: The number of iterations used for simulations. Is a single numeric value representing a whole number.
kappa: The shape of the Weibull distribution if kappa!=1. Is a single numeric value.
maxNumberOfEventsPerStage: Determines the maximum number of events per stage for data-driven sample size recalculation. Is a numeric vector of length kMax containing whole numbers.
maxNumberOfIterations: The number of simulation iterations. Is a single numeric value representing a whole number.
maxNumberOfSubjects: The maximum number of subjects for power calculations. Is a numeric vector.
minNumberOfEventsPerStage: Determines the minimum number of events per stage for data-driven sample size recalculation. Is a numeric vector of length kMax containing whole numbers.
numberOfSelectedArms: The number of selected arms in a multi-armed design. Is a numeric matrix.
omegaMaxVector: The range of hazard ratios with highest response for "linear" and "sigmoidEmax" model. Is a numeric vector.
plannedEvents: Determines the number of cumulated (overall) events in survival designs when the interim stages are planned. For two treatment arms, is the number of events for both treatment arms. For multi-arm designs, refers to the overall number of events for the selected arms plus control. Is a numeric vector of length kMax containing whole numbers.
rejectAtLeastOne: The probability to reject at least one of the (multiple) hypotheses. Is a numeric vector.
rejectedArmsPerStage: The simulated number of rejected arms per stage.
rValue: Needs to be specified if typeOfSelection = "rBest". Is a single numeric value.
seed: The seed used for random number generation. Is a single numeric value.
selectArmsFunction: An optional function that can be entered to define how treatment arms are selected.
selectedArms: The selected arms in multi-armed designs.
singleEventsPerArmAndStage: The number of events per arm and stage that is used for the analysis.
singleEventsPerStage: The single number of events per stage. Is a numeric matrix.
singleNumberOfEventsPerStage: Deprecated: use singleEventsPerArmAndStage or singleEventsPerSubsetAndStage instead
slope: The slope of the sigmoid Emax model, if typeOfShape = "sigmoidEmax" Is a single numeric value.
studyDuration: The study duration for specified effect size. Is a positive numeric vector.
successPerStage: The simulated success probabilities per stage where success is defined by user. Is a numeric matrix.
threshold: The selection criterion: treatment arm/population is only selected if effectMeasure exceeds threshold. Either a single numeric value or a numeric vector of length activeArms referring to a separate threshold condition for each treatment arm.
typeOfShape: The shape of the dose-response relationship over the treatment groups. Is a single character value.