getD_none {OneArmPhaseTwoStudy} | R Documentation |
Calculates the conditional error for all possible outcomes at the interim analysis (different number of responses) using no "rest alpha" spending (difference between nominal alpha level and actual alpha level).
getD_none(design)
design |
a dataframe containing all critical values for a Simon's two-stage design defined by the colums "r1", "n1", "r", "n" and "p0".
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Englert S., Kieser M. (2012): Adaptive designs for single-arm phase II trials in oncology. Pharmaceutical Statistics 11,241-249.
getD_proportionally
, getD_equally
, getD_distributeToOne
#Calculate a Simon's two-stage design design <- getSolutions()$Solutions[3,] #minimax-design for the default values. ce_toOne <- getD_none(design) ce_toOne