CRAN
accrual 1.3
Bayesian Accrual Prediction
Released Oct 20, 2017 by Junhao Liu
This package cannot yet be used with Renjin it depends on other packages which are not available: tcltk2 1.2-11
An older version of this package is
more compatible with Renjin.
Dependencies
tcltk2 1.2-11 fgui 1.0-8 SMPracticals 1.4-2
Subject recruitment for medical research is challenging. Slow patient accrual leads to delay in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates researcher's experience on previous trials and data from the current study, providing reliable prediction on accrual rate for clinical studies. In this R package, we present functions for Bayesian accrual prediction which can be easily used by statisticians and clinical researchers.