accrual.gui


The R GUI interface only needs the researchers to input the original design information that are required information for IRBs (total time proposed and total subjects proposed) and the updated accrual data (time since start and subjects accrual). It uses Bayesian prediction model in the background of calculation 

Bayesian

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.

accrual.gui: GUI Version of the Bayesian Accrual Prediciton

Description

Usage

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Examples