accrual:Bayesian Accrual Prediction
Participant recruitment for medical research is challenging. Slow accrual leads to delays 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 the researcher's
experience with previous trials and data from the current
study, providing reliable predictions on accrual rate for
clinical studies. For more details and background on these
methodologies, see the publications of Byron, Stephen and Susan
(2008) <doi:10.1002/sim.3128>, and Yu et al. (2015)
<doi:10.1002/sim.6359>. In this R package, Bayesian accrual
prediction functions are presented, which can be easily used by
statisticians and clinical researchers.
