ss_normal {drugdevelopR} | R Documentation |
Total sample size for phase III trial with l treatments and equal allocation ratio for normally distributed outcomes
Description
Depending on the results of phase II and our strategy ,i.e. whether we proceed only with the best promising treatment (l = 1) or with all promising treatments (l = 2), this program calculates the number of participants in phase III.
l=1: according to Schoenfeld to guarantee power for the log rank test to detect treatment effect of phase II;
l=2: according to Dunnett to guarantee y any-pair power (Horn & Vollandt)
Usage
ss_normal(alpha, beta, y, l)
Arguments
alpha |
significance level |
beta |
1-'beta' power for calculation of sample size for phase III |
y |
y_hat_theta_2; estimator in phase II |
l |
number of treatments in phase III:
|
Value
the function ss_normal() returns the total sample size for phase III trial with l treatments and equal allocation ratio
Examples
res <- ss_normal(alpha = 0.05, beta = 0.1, y = 0.5, l = 1)