CTU-Bern/accrualPlot: Accrual Plots and Predictions for Clinical Trials
Tracking accrual in clinical trials is important for trial success. If accrual is too slow, the trial will take too long and be too expensive. If accrual is much faster than expected, time sensitive tasks such as the writing of statistical analysis plans might need to be rushed. 'accrualPlot' provides functions to aid the tracking of accrual and predict when a trial will reach it's intended sample size.
Getting started
Browse package contents
Package details |
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| Maintainer | Lukas Bütikofer <lukas.buetikofer@ctu.unibe.ch> |
| License | MIT + file LICENSE |
| Version | 1.0.9 |
| URL | https://github.com/CTU-Bern/accrualPlot https://ctu-bern.github.io/accrualPlot/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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