refineR: Reference Interval Estimation using Real-World Data
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.
Furthermore, the package offers functions for printing and plotting the results of the algorithm. See ?refineR for a more comprehensive description of the features.
Version 1.0 of the algorithm is described in detail in Ammer T., Schuetzenmeister A., Prokosch H.-U., Rauh M., Rank C.M., Zierk J. "refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data". Scientific Reports (2021) <doi:10.1038/s41598-021-95301-2>.
| Version: |
1.5.1 |
| Depends: |
R (≥ 3.2.0) |
| Imports: |
stats, ash, future, future.apply, parallel, graphics, grDevices |
| Suggests: |
knitr, rmarkdown |
| Published: |
2022-07-19 |
| Author: |
Tatjana Ammer [aut, cre],
Christopher M Rank [aut],
Andre Schuetzenmeister [aut] |
| Maintainer: |
Tatjana Ammer <tatjana.ammer at roche.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
refineR results |
Documentation:
Downloads:
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