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.
library(RCTRecruit)
LoadData(gripsYR1, ScreenDt, Enrolled)
#>
#> Variables Enrolled and ScreenDt were successfully loaded
Time2Nsubjects()
#> Enrolling 50 subjects requires 137 weeks
#>
#> 2.5% 50% 97.5%
#> 137 137 137
GetDistance(gripsYR2Weekly$enrolled)
#> 2.5% 50% 97.5%
#> 85 85 85
res <- GetWeekPredCI()
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