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.
- Version1.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/26/2023
Team
Junhao Liu
Cen Wu
Show author detailsRolesAuthorRama Raghavan
Show author detailsRolesAuthorYu Jiang
Show author detailsRolesAuthorSteve Simon
Show author detailsRolesAuthorMatthew S. Mayo
Show author detailsRolesAuthorByron J. Gajewski
Show author detailsRolesAuthor
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- Depends1 package
- Imports2 packages