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.
The method 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) [accepted July 21, 2021].
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.2.0) |
| Imports: |
stats, ash, future, future.apply, parallel, graphics, grDevices |
| Published: |
2021-08-02 |
| 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 |
| CRAN checks: |
refineR results |
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