twostage.admissible: Admissible design options between Minimax and Optimal

In clinfun: Clinical Trial Design and Data Analysis Functions

Admissible design options between Minimax and Optimal

Description

Lists the admissible design options between

Usage

twostage.admissible(x)

Arguments

x	output from ph2simon call

Value

twostage.admissible returns design options that are admissible (Jung et al, 2004). The output is a matrix with 8 columns: r1, n1, r, n, EN(p0), PET(p0), qLo, qHi. The columns qLo and qHi give the range of probability values for which the particular design is admissible.

References

Jung SH, Lee T, Kim K, and George, SL. (2004). Admissible two-stage designs for phase II cancer clinical trials. Statistics in medicine 23(4), 561-569.

Examples

  oo = ph2simon(0.5, 0.7, 0.05, 0.1)
  twostage.admissible(oo)

clinfun documentation built on Oct. 20, 2023, 1:07 a.m.