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accrual  

Bayesian Accrual Prediction
View on CRAN: Click here


Download and install accrual package within the R console
Install from CRAN:
install.packages("accrual")

Install from Github:
library("remotes")
install_github("cran/accrual")

Install by package version:
library("remotes")
install_version("accrual", "1.4")



Attach the package and use:
library("accrual")
Maintained by
Junhao Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-24
Latest Update: 2023-11-26
Description:
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) , and Yu et al. (2015) . In this R package, Bayesian accrual prediction functions are presented, which can be easily used by statisticians and clinical researchers.
How to cite:
Junhao Liu (2014). accrual: Bayesian Accrual Prediction. R package version 1.4, https://cran.r-project.org/web/packages/accrual. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2014-02-24 18:22), 1.1 (2015-06-10 12:00), 1.2 (2016-07-17 23:01), 1.3 (2017-10-20 06:34)
Other packages that cited accrual R package
View accrual citation profile
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Complete documentation for accrual
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