| refineR-package {refineR} | R Documentation |
refineR: Reference Interval Estimation using Real-World Data (RWD)
Description
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. 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'.
Details
| Package: | refineR |
| Type: | Package |
| Version: | 1.6.1 |
| Date: | 2023-11-13 |
| License: | GPL (>=3) |
| LazyLoad: | yes |
Author(s)
Tatjana Ammer tatjana.ammer@roche.com, Christopher M Rank christopher.rank@roche.com, Andre Schuetzenmeister andre.schuetzenmeister@roche.com
References
Ammer, T., Schuetzenmeister, A., Prokosch, HU., Rauh, M., Rank, C.M., Zierk, J. refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data. Sci Rep 11, 16023 (2021).