utility_multitrial_binary: Utility function for multitrial programs with binary...

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

Utility function for multitrial programs with binary distributed outcomes

Description

The utility function calculates the expected utility of our drug development program and is given as gains minus costs and depends on the parameters and the expected probability of a successful program. The utility is in further step maximized by the optimal_multitrial_binary() function.

Usage

utility2_binary(
  n2,
  RRgo,
  w,
  p0,
  p11,
  p12,
  in1,
  in2,
  alpha,
  beta,
  c2,
  c3,
  c02,
  c03,
  K,
  N,
  S,
  b1,
  b2,
  b3,
  case,
  fixed
)

utility3_binary(
  n2,
  RRgo,
  w,
  p0,
  p11,
  p12,
  in1,
  in2,
  alpha,
  beta,
  c2,
  c3,
  c02,
  c03,
  K,
  N,
  S,
  b1,
  b2,
  b3,
  case,
  fixed
)

utility4_binary(
  n2,
  RRgo,
  w,
  p0,
  p11,
  p12,
  in1,
  in2,
  alpha,
  beta,
  c2,
  c3,
  c02,
  c03,
  K,
  N,
  S,
  b1,
  b2,
  b3,
  case,
  fixed
)

Arguments

n2	total sample size for phase II; must be even number
RRgo	threshold value for the go/no-go decision rule
w	weight for mixture prior distribution
p0	assumed true rate of control group
p11	assumed true rate of treatment group
p12	assumed true rate of treatment group
in1	amount of information for p11 in terms of sample size
in2	amount of information for p12 in terms of sample size
alpha	significance level
beta	1-beta power for calculation of sample size for phase III
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"
case	choose case: "at least 1, 2 or 3 significant trials needed for approval"
fixed	choose if true treatment effects are fixed or random

Value

The output of the functions utility2_binary(), utility3_binary() and utility4_binary() is the expected utility of the program when 2, 3 or 4 phase III trials are performed.

Examples

res <- utility2_binary(n2 = 50, RRgo = 0.8,  w = 0.3, 
                                 p0 = 0.6, p11 =  0.3, p12 = 0.5, 
                                 in1 = 300, in2 = 600, alpha = 0.025, beta = 0.1,
                                 c2 = 0.75, c3 = 1, c02 = 100, c03 = 150,
                                 K = Inf, N = Inf, S = -Inf,
                                 b1 = 1000, b2 = 2000, b3 = 3000, 
                                 case = 2, fixed = TRUE)
          res <- utility3_binary(n2 = 50, RRgo = 0.8,  w = 0.3, 
                                 p0 = 0.6, p11 =  0.3, p12 = 0.5, 
                                 in1 = 300, in2 = 600, alpha = 0.025, beta = 0.1,
                                 c2 = 0.75, c3 = 1, c02 = 100, c03 = 150,
                                 K = Inf, N = Inf, S = -Inf,
                                 b1 = 1000, b2 = 2000, b3 = 3000, 
                                 case = 2, fixed = TRUE)
         res <- utility4_binary(n2 = 50, RRgo = 0.8,  w = 0.3, 
                                 p0 = 0.6, p11 =  0.3, p12 = 0.5, 
                                 in1 = 300, in2 = 600, alpha = 0.025, beta = 0.1,
                                 c2 = 0.75, c3 = 1, c02 = 100, c03 = 150,
                                 K = Inf, N = Inf, S = -Inf,
                                 b1 = 1000, b2 = 2000, b3 = 3000, 
                                 case = 3, fixed = TRUE)

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