Reference Interval Estimation using Real-World Data
Description
Indirect method for the estimation of reference intervals (RIs)
using Real-World Data ('RWD') and methods for comparing and verifying RIs.
Estimates RIs by applying advanced statistical methods to routine
diagnostic test measurements, which include both pathological and
non-pathological samples, to model the distribution of non-pathological
samples. This distribution is then used to derive reference intervals
and support RI verification, i.e., deciding if a specific RI is suitable
for the local population. The package also provides functions for
printing and plotting algorithm results. See ?refineR for a detailed
description of features. Version 1.0 of the algorithm is described in
'Ammer et al. (2021)' . Additional
guidance is in 'Ammer et al. (2023)' . The
verification method is described in 'Beck et al. (2025)'
.