getSolutionsSub1: Calculates designs for a given "sub1"-object.

In OneArmPhaseTwoStudy: Planning, Conducting, and Analysing Single-Arm Phase II Studies

Description

By iterating over all possible values for "r1", "n1", "r", "s" and "n" designs for a given "sub1"-object are found. Proceeding to the second stage of the study more than "r1" responses among the first "n1" patients in the subset endpoint are needed. Rejecting the null hypothesis more than "r" responses in the subset endpoint or more than "s" responses in the superset endpoint among "n" patients are needed.

Usage

getSolutionsSub1(sub1 = setupSub1Design(), skipS = TRUE, skipR = TRUE,
  skipN1 = TRUE, lowerBorder = 0, upperBorder = 0,
  useCurtailment = FALSE, curtailAll = FALSE, cut = 0,
  replications = 1000)

Arguments

sub1	a "sub1"-object which will be used to calculate fitting designs
skipS	boolean value; skips the iteration over "s" at certian points to improve calculation speed (finds less designs)
skipR	boolean value; skips the iteration over "r" at certian points to improve calculation speed (finds less designs)
skipN1	boolean value; skips the iteration over "n1" at certian points to improve calculation speed (finds less designs and it is impossible to determine the optimalization criteria of the found designs)
lowerBorder	sets a minimal value for "n" (number of patients to be recruited)
upperBorder	sets a maximal value for "n" (number of patients to be recruited)
useCurtailment	determines if the effect of (non-)stochastic curtailment should also be calculated for the found designs
curtailAll	boolean value; if true the effect of (non-)stochastic curtailment will be calculated for different cut points in 0.05 steps starting with the value of the parameter "cut".
cut	sets the "cut point" used to calculate the effect of (non-)stochastic curtailment. A study is stopped if the conditional power falls below the value of "cut".
replications	number of simulations to estimate the effect of (non-)stochastic curtailment.

References

Kunz C.U., Kieser M (2012): Curtailment in single-arm two-stage phase II oncology trials. Biometrical Journal 54, 445-456

See Also

setupSub1Design

Examples

# Example 1: Using the default values
sub1 <- setupSub1Design()
getSolutionsSub1(sub1)

# Example 2: Setting up a "sub1"-object, then calculating designs
sub1 <- setupSub1Design(alpha = 0.1, beta = 0.2, pc0 = 0.3, pt0 = 0.4)
designs <- getSolutionsSub1(sub1)$Solutions
designs

# Example 2: Calculating designs and simulating the influence of stochastic curtailment
# for each design.
sub1 <- setupSub1Design(alpha = 0.1, beta = 0.2, pc0 = 0.3, pt0 = 0.4)
designs <- getSolutionsSub1(sub1, useCurtailment = TRUE, curtailAll = TRUE, cut = 0.3)
#Contains the found designs, the influence of stochastic curtailment
#and the regarding stopping rules .
designs

OneArmPhaseTwoStudy documentation built on May 2, 2019, 9:28 a.m.