optimal_binary_generic: Generic function for optimizing programs with binary...

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

Generic function for optimizing programs with binary endpoints

Description

Generic function for optimizing programs with binary endpoints

Usage

optimal_binary_generic(
  w,
  p0,
  p11,
  p12,
  in1,
  in2,
  n2min,
  n2max,
  stepn2,
  rrgomin,
  rrgomax,
  steprrgo,
  alpha,
  beta,
  c2,
  c3,
  c02,
  c03,
  K = Inf,
  N = Inf,
  S = -Inf,
  steps1 = 1,
  stepm1 = 0.95,
  stepl1 = 0.85,
  b1,
  b2,
  b3,
  gamma = 0,
  fixed = FALSE,
  num_cl = 1
)

Arguments

w	weight for mixture prior distribution
p0	assumed true rate of control group, see here for details
p11	assumed true rate of treatment group, see here for details
p12	assumed true rate of treatment group, see here for details
in1	amount of information for p11 in terms of sample size, see here for details
in2	amount of information for p12 in terms of sample size, see here for details
n2min	minimal total sample size for phase II; must be an even number
n2max	maximal total sample size for phase II, must be an even number
stepn2	step size for the optimization over n2; must be an even number
rrgomin	minimal threshold value for the go/no-go decision rule
rrgomax	maximal threshold value for the go/no-go decision rule
steprrgo	step size for the optimization over RRgo
alpha	one-sided significance level
beta	type II error rate; i.e. 1 - beta is the power for calculation of the number of events for phase III
c2	variable per-patient cost for phase II in 10^5 $
c3	variable per-patient cost for phase III in 10^5 $
c02	fixed cost for phase II in 10^5 $
c03	fixed cost for phase III in 10^5 $
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
steps1	lower boundary for effect size category "small" in RR scale, default: 1
stepm1	lower boundary for effect size category "medium" in RR scale = upper boundary for effect size category "small" in RR scale, default: 0.95
stepl1	lower boundary for effect size category "large" in RR scale = upper boundary for effect size category "medium" in RR scale, default: 0.85
b1	expected gain for effect size category "small"
b2	expected gain for effect size category "medium"
b3	expected gain for effect size category "large"
gamma	to model different populations in phase II and III choose gamma != 0, default: 0, see here for details
fixed	choose if true treatment effects are fixed or random, if TRUE p11 is used as fixed effect for p1
num_cl	number of clusters used for parallel computing, default: 1

Sterniii3/drugdevelopR documentation built on Jan. 14, 2025, 7:50 p.m.