Reference Interval Estimation using Real-World Data

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)' .


Reference manual

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install.packages("refineR")

2.0.0 by Matthias Beck, a year ago


Browse source code at https://github.com/cran/refineR


Authors: Matthias Beck [aut, cre] (ORCID: , Tatjana Ammer [aut] , Christopher M Rank [aut] , Andre Schuetzenmeister [aut] (ORCID:


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats, ash, future, future.apply, parallel, graphics, grDevices

Suggests knitr, rmarkdown


See at CRAN