optimal_multiarm_generic: Generic function for optimizing multi-arm programs

In Sterniii3/drugdevelopR: Utility-Based Optimal Phase II/III Drug Development Planning

Generic function for optimizing multi-arm programs

Description

Generic function for optimizing multi-arm programs

Usage

optimal_multiarm_generic(
  n2min,
  n2max,
  stepn2,
  beta,
  alpha,
  c2,
  c3,
  c02,
  c03,
  K,
  N,
  S,
  b1,
  b2,
  b3,
  strategy,
  num_cl
)

Arguments

n2min	minimal total sample size in phase II, must be divisible by 3
n2max	maximal total sample size in phase II, must be divisible by 3
stepn2	stepsize for the optimization over n2, must be divisible by 3
beta	type-II error rate for any pair, i.e. 1 - beta is the (any-pair) power for calculation of the sample size for phase III
alpha	one-sided significance level/family-wise error rate
c2	variable per-patient cost for phase II
c3	variable per-patient cost for phase III
c02	fixed cost for phase II
c03	fixed cost for phase III
K	constraint on the costs of the program, default: Inf, e.g. no constraint
N	constraint on the total expected sample size of the program, default: Inf, e.g. no constraint
S	constraint on the expected probability of a successful program, default: -Inf, e.g. no constraint
b1	expected gain for effect size category "small"
b2	expected gain for effect size category "medium"
b3	expected gain for effect size category "large"
strategy	choose strategy: 1 (only the best promising candidate), 2 (all promising candidates) or 3 (both strategies)
num_cl	number of clusters used for parallel computing, default: 1

Sterniii3/drugdevelopR documentation built on Jan. 26, 2024, 6:17 a.m.