optimal_generic {drugdevelopR} | R Documentation |
Generic function for optimizing drug development programs
Description
Generic function for optimizing drug development programs
Usage
optimal_generic(beta, alpha, c2, c3, c02, c03, K, N, S, b1, b2, b3, num_cl)
Arguments
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: |
N |
constraint on the total expected sample size of the program, default: |
S |
constraint on the expected probability of a successful program, default: |
b1 |
expected gain for effect size category "small" |
b2 |
expected gain for effect size category "medium" |
b3 |
expected gain for effect size category "large" |
num_cl |
number of clusters used for parallel computing, default: 1 |
[Package drugdevelopR version 1.0.1 Index]