Skip to content

Common Statistical Analysis for Clinical Trials in Biotech

License

Notifications You must be signed in to change notification settings

kaigu1990/stabiot

Repository files navigation

stabiot

R-CMD-check

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).

Installation

You can install the development version of stabiot like so:

if (!require("devtools")) {
  install.packages("devtools")
}
devtools::install_github("kaigu1990/stabiot")

About

Common Statistical Analysis for Clinical Trials in Biotech

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages