Bayesian Accrual Prediction

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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.3 by Junhao Liu, 3 years ago

Browse source code at

Authors: Junhao Liu , Yu Jiang , Cen Wu , Steve Simon , Matthew S. Mayo , Rama Raghavan , Byron J. Gajewski

Documentation:   PDF Manual  

GPL-2 license

Imports fgui, SMPracticals

Depends on tcltk2

See at CRAN