d3_skipII_tte {drugdevelopR} | R Documentation |
Expected probability to go to phase III for time-to-event outcomes
Description
If choosing skipII = TRUE
, the program calculates the expected utility for the case when phase
II is skipped and compares it to the situation when phase II is not skipped.
This function calculates the expected sample size for phase III for time-to-event outcomes using a median prior.
Usage
d3_skipII_tte(alpha, beta, median_prior)
Arguments
alpha |
significance level |
beta |
|
median_prior |
the median_prior is given as -log(hr1), the assumed true treatment effect |
Value
The output of the functions d3_skipII_tte()
is the expected number of events in phase III when skipping phase II.
Examples
res <- d3_skipII_tte(alpha = 0.05, beta = 0.1, median_prior = 0.35)
[Package drugdevelopR version 1.0.1 Index]