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.


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install.packages("accrual")

1.3 by Junhao Liu, a year ago


Browse source code at https://github.com/cran/accrual


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