The goal of stabiot
is to assist statisticians and statistical
programmers in using R functions and methods to oversee the outputs
produced by SAS from outsourcing in clinical trials. The data sets would
be ADaM format preferably, but they do not have to strictly follow the
CDISC standards.
To guarantee accurate results, I prefer to wrap mature R packages rather
than rebuild statistical methods. Parts of statistics outputs are styled
with rtables
. For present, the completed sections are listed below.
- Simulation of sample size determination by Bayesian.
- Summarize Least-squares Means from models, such as ANCOVA and MMRM.
- Compute response rate, odds ratio with or without stratification, and corresponding confidence interval.
- Derive best overall response (confirmed or not confirmed BOR) per RECIST 1.1.
- Summarize survival analyses using
survival
package. - Count number of events (AE overview).
You can install the development version of stabiot
like so:
if (!require("devtools")) {
install.packages("devtools")
}
devtools::install_github("kaigu1990/stabiot")