This package includes the implementation of the refineR algorithm (Ammer et al., 2021) which is an indirect method for the estimation of
reference intervals using Real-World Data (RWD). It takes routine measurements of diagnostic tests, containing pathological and non-pathological samples
as input and uses sophisticated statistical methods to derive a model describing the distribution of the non-pathological samples.
This distribution can then be used to derive reference intervals. Version 2.0.0 added functions to check whether a reference interval is valid for the population from which the RWD originates.
Main function of this package is findRI that takes an input data set and tries to find a model that best explains the non-pathological distribution.
Furthermore, the package offers functions for printing print.RWDRI and plotting plot.RWDRI the results of the algorithm operating on S3-objects of class 'RWDRI'.
Verification is performed with the verifyRI function.
Matthias Beck matthias.beck.mb1@roche.com, Tatjana Ammer tatjana.ammer@roche.com, Christopher M Rank christopher.rank@roche.com, Andre Schuetzenmeister andre.schuetzenmeister@roche.com
| Package: | refineR |
| Type: | Package |
| Version: | 2.0.0 |
| Date: | 2025-11-05 |
| License: | GPL (>=3) |
| LazyLoad: | yes |
Ammer, T., Schuetzenmeister, A., Prokosch, H.U., Rauh, M., Rank, C.M., Zierk, J. (2021). refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data. Sci Rep 11, 16023. tools:::Rd_expr_doi("10.1038/s41598-021-95301-2") Ammer, T., Schützenmeister, A., Rank, C. M., Doyle, K. (2023). Estimation of Reference Intervals from Routine Data Using the refineR Algorithm-A Practical Guide. (2023). J Appl Lab Med 8 (1), 84-91. tools:::Rd_expr_doi("10.1093/jalm/jfac101") Beck, M., Dufey, F., Ammer, T., Schützenmeister, A., Zierk, J., Rank, C.M., Rauh, M. (2025). VeRUS: verification of reference intervals based on the uncertainty of sampling. Clin Chem Lab Med. tools:::Rd_expr_doi("10.1515/cclm-2025-0728").