RCTRecruit-package {RCTRecruit} | R Documentation |
RCTRecruit: Non-Parametric Recruitment Prediction for Randomized Clinical Trials
Description
Accurate prediction of subject recruitment for Randomized Clinical Trials (RCT) remains an ongoing challenge. Many previous prediction models rely on parametric assumptions. We present functions for non-parametric RCT recruitment prediction under several scenarios.
Details
Package: | RCTRecruit | |
Type: | Package | |
Version: | 0.2.0 | |
Date: | 2025-04-21 | |
License: | MIT + file LICENSE | |
Functions: | ||
GetDistance | Euclidean distance between predicted and actual recruitment | |
GetWeekPredCI | Calculate median recruitment with 95% CI for the next 104 weeks (two years) | |
LoadData | Load recruitment data. | |
plot.RCTPredCI | Plots RCTPredCI object | |
Time2Nsubjects | Simulate the number of weeks needed to recruit a given number of subjects | |
Datasets: | ||
gripsYR1 | Daily recruitment data for the 1st year of the GRIPS study | |
gripsYR2 | Daily recruitment data for the 2nd year of the GRIPS study | |
gripsYR2Weekly | Weekly recruitment data for the 2nd year of the GRIPS study | |
Author(s)
Maintainer: Ioannis Malagaris iomalaga@utmb.edu (ORCID) [copyright holder]
Authors:
Alejandro Villasante-Tezanos alvillas@utmb.edu
Christopher Kurinec chkurine@utmb.edu
Xiaoying Yu xiyu@utmb.edu
References
Villasante-Tezanos A, Kuo Y, Kurinec C, Li Y, Yu X (2024). "A non-parametric approach to predict the recruitment for randomized clinical trials: an example in elderly inpatient settings." BMC medical research methodology, 24, 189. ISSN 1471-2288, https://pubmed.ncbi.nlm.nih.gov/39210285/.
Gajewski BJ, Simon SD, Carlson SE (2008). "Predicting accrual in clinical trials with Bayesian posterior predictive distributions." Statistics in medicine, 27, 2328-40. ISSN 0277-6715, https://pubmed.ncbi.nlm.nih.gov/17979152/.
Jiang Y, Simon S, Mayo MS, Gajewski BJ (2015). "Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors." Statistics in medicine, 34, 613-29. ISSN 1097-0258, https://pubmed.ncbi.nlm.nih.gov/25376910/.
See Also
Useful links:
Report bugs at https://github.com/imalagaris/RCTRecruit/issues
Packages:
Liu J, Jiang Y, Wu C, Simon S, Mayo MS, Raghavan R, Gajewski BJ (2023). accrual: Bayesian Accrual Prediction. R package version 1.4, https://CRAN.R-project.org/package=accrual.
Other Links:
GetDistance()
,
GetWeekPredCI()
,
LoadData()
,
Time2Nsubjects()
,
gripsYR1
,
gripsYR2
,
gripsYR2Weekly
,
plot.RCTPredCI()