This is a collection of tools to allow the medical professional to
calculate appropriate reference ranges (intervals) with confidence intervals around
the limits for diagnostic purposes.

API Wrapper for the UK REF 2014 Impact Case Studies Database
person("Perry", "Stephenson",
email = "perry.stephenson+cran@gmail.com",
role = c("aut", "cre"))
Provides wrapper functions around the UK Research
Excellence Framework 2014 Impact Case Studies Database API
<http://impact.ref.ac.uk/>. The database contains relevant publication and
research metadata about each case study as well as several paragraphs of
text from the case study submissions. Case studies in the database are
licenced under a CC-BY 4.0 licence
<http://creativecommons.org/licenses/by/4.0/legalcode>.

Reference Interval Estimation using Real-World Data
Tatjana Ammer [aut, cre],
Christopher M Rank [aut],
Andre Schuetzenmeister [aut]
c(
person(given ="Tatjana", family ="Ammer", email ="tatjana.ammer@roche.com", role =c("aut", "cre")),
person(given ="Christopher M", family = "Rank", email ="christopher.rank@roche.com", role ="aut"),
person(given ="Andre", family ="Schuetzenmeister", email ="andre.schuetzenmeister@roche.com", role ="aut"))
stats, ash, future, future.apply, parallel, graphics,
grDevices
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].