pow.SEPPLE {DelayedEffect.Design} | R Documentation |
SEPPLE power computation
Description
Perform the power calculation using the numeric SEPPLE method based on the piecewise weighted log-rank test when the treatment time-lag effect is present and the lag duration is homogeneous across the individual subject
Usage
pow.SEPPLE(lambda1, t1, p, N, HR, tao, A, ap=0.5, alpha=0.05, nsim=10000)
Arguments
lambda1 |
Baseline hazard or NULL (see details) |
t1 |
Delayed duration or NULL (see details) |
p |
Proportion of subjects who survive beyond the delayed period or NULL (see details) |
N |
Sample size |
HR |
Post-delay hazard ratio, defined as the post-delay hazard rate of the treatment group compared to that of the control group |
tao |
Total study duration |
A |
Total enrollment duration |
ap |
Experimental-control allocation ratio. The default is 0.5. |
alpha |
Type I error rate (two-sided). The default is 0.05. |
nsim |
Number of simulations. The default is 10000. |
Details
SEPPLE is an acronym for:
Simulation-based Empirical Power calculation method based on Piecewise weighted Log-rank
tEst. See the reference for details of this method.
Out of the three input parameters lambda1
, t1
and p
,
only two need to be specified, the remaining one will be computed
internally from the formula lambda1 = -log(p)/t1
.
If all three are not NULL, then
lambda1
will be set to -log(p)/t1
regardless of the user input value.
Value
The power
Author(s)
Zhenzhen Xu <Zhenzhen.Xu@fda.hhs.gov> , Boguang Zhen<Boguang.Zhen@fda.hhs.gov>, Yongsoek Park <yongpark@pitt.edu> and Bin Zhu <bin.zhu@nih.gov>
References
Xu, Z., Zhen, B., Park, Y., & Zhu, B. (2017). Designing therapeutic cancer vaccine trials with delayed treatment effect. Statistics in medicine, 36(4), 592-605.
See Also
Examples
lambda1 <- NULL
t1 <- 183
p <- 0.7
N <- 200
HR <- 0.55
tao <- 365*3
A <- 365
pow.SEPPLE(lambda1, t1, p, N, HR, tao, A, nsim=1000)