PowFrailty {PDXpower} | R Documentation |
A function to obtain a power table with the combination of various number of PDX lines and number of individuals per PDX lines per treatment based on a prior knowledge of median survival
PowFrailty(
ctl.med.surv = 2.4,
tx.med.surv = 4.8,
nu = 1,
tau2 = 0.1,
n = NULL,
m = NULL,
sim = 1000,
censor = FALSE,
Ct = 5,
two.sided = TRUE,
alpha = 0.05,
fixed.effect = FALSE,
ncores = NULL
)
ctl.med.surv |
a numeric value of the hypothesized medial survival in the control arm. Default is 2.4. |
tx.med.surv |
a numeric value of the hypothesized medial survival in the treatment arm. Default is 4.8. |
nu |
shape parameter of Weibull distribution for the baseline hazard. Default is 1, i.e., constant failure rate. |
tau2 |
variance of PDX line specific random effect. Default is 0.1. |
n |
an integer number to specify the number of PDX lines. |
m |
an integer number to specify the number of individuals per PDX line per treatment. |
sim |
Number of Monte Carlo samples to be generated. Default is 1000. |
censor |
logical value of whether a censoring distribution is considered in a data generation setting. Default is FALSE. |
Ct |
a fixed time point when a study is designed to end for generating type 1 censoring data. |
two.sided |
A logical value to indicate if a two-sided hypothesis testing is conducted. Default is TRUE. |
alpha |
significance level. Default is 0.05. |
fixed.effect |
logical value to indicate if a fixed effects only model is fitted. Default is FALSE. |
ncores |
number of cores for parallel computation. |
Object of PowFrailty
with elements
PowTab |
the estimates of statistical power across |
require(PDXpower)
PowTab <- PowFrailty(ctl.med.surv = 2.4, tx.med.surv = 4.8, sim = 100,
n = 3, m = 2, ncores = 1)
PowTab
plotpower(PowTab, ylim = c(0, 1))