testcase4

<p>This dataset consists of N = 100,000 simulated measurements with 90\
Ground Truth for reference intervals (2.5\</p>

datasets

Indirect method for the estimation of reference intervals (RIs)
using Real-World Data ('RWD') and methods for comparing and verifying RIs.
Estimates RIs by applying advanced statistical methods to routine
diagnostic test measurements, which include both pathological and
non-pathological samples, to model the distribution of non-pathological
samples. This distribution is then used to derive reference intervals
and support RI verification, i.e., deciding if a specific RI is suitable
for the local population. The package also provides functions for
printing and plotting algorithm results. See ?refineR for a detailed
description of features. Version 1.0 of the algorithm is described in
'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional
guidance is in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>. The
verification method is described in 'Beck et al. (2025)'
<doi:10.1515/cclm-2025-0728>.

Matthias Beck

refineR

Reference Interval Estimation using Real-World Data

Tatjana Ammer

Christopher M Rank

Andre Schuetzenmeister

testcase4 function

Format

Simulated Testcase 4. — testcase4

Simulated Testcase 4.

testcase4: Simulated Testcase 4.

Description

Usage

Arguments

Format