⚕ No for
loop in clinical trial simulation
⚕
The goal of TrialSimulator
is to provide a pipeline for
implementing simulation of clinical trial more efficiently and reliably.
It follows principle of modularity to isolate codes of statistical
testing from data generation and management. It provides a set of tools
to sample endpoints of common or custom distributions, manage trial
data, and summarize simulation results under fixed or adaptive designs.
It also provides functions of group sequential design, graphical testing
procedure, combination test, and closed test that are widely used in
analyzing complex trial designs.
An online version of this app is hosted on shinyapps.io.
The validation documents for this R package are hosted here and are continuously updated.
You can install the development version of
TrialSimulator
from GitHub with:
if (!require("remotes")) {
install.packages("remotes")
}::install_github(
remotes"zhangh12/TrialSimulator",
build_manual = TRUE,
build_vignettes = TRUE,
force = TRUE
)
TrialSimulator
is designed with a modular architecture,
allowing users to systematically construct and simulate clinical trials
in a structured and flexible manner. The simulation process is broken
down into three key steps:
To efficiently utilize TrialSimulator
for clinical trial
simulations, we recommend reading the following vignettes in order:
TrialSimulator
?GroupSequentialTest
.?GraphicalTesting
.