refineR-Package: refineR: Reference Interval Estimation using Real-World Data...

In refineR: Reference Interval Estimation using Real-World Data

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:	1.6.2
Date:	2024-08-14
License:	GPL (>=3)
LazyLoad:	yes

Author(s)

Tatjana Ammer [e-mail], Christopher M Rank [e-mail], Andre Schuetzenmeister [e-mail]

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).

refineR documentation built on Sept. 11, 2024, 8:27 p.m.