MCResult.calcPaBaTiesRatio

calcPaBaTiesRatio

This function computes the ratio of slopes ties values in the classic pairwise
PaBa slope calculation. A ratio higher than approx 0.05 may suggest a potential
bias risk. In this case data precision is too low for correct PaBa estimation.
The function is written in R and can be slow with large data set.

Regression methods to quantify the relation between two measurement
methods are provided by this package. In particular it addresses regression
problems with errors in both variables and without repeated measurements. It
implements the Clinical Laboratory Standard International (CLSI)
recommendations (see J. A. Budd et al.
(2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>)
for analytical method comparison and bias estimation using patient samples.
Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators
are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and
J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>).
Further the robust M-Deming and MM-Deming (experimental) are available, see
G. Pioda (2021, <arXiv:2105:04628>).
A comprehensive overview over the implemented methods and references can be found
in the manual pages 'mcrPioda-package' and 'mcreg'.

Giorgio Pioda

mcrPioda

Method Comparison Regression - Mcr Fork for M- And MM-Deming
Regression

Sergej Potapov

Fabian Model

Andre Schuetzenmeister

Ekaterina Manuilova

Florian Dufey

Jakob Raymaekers

Venkatraman E. Seshan

Roche 

MCResult.calcPaBaTiesRatio function

<dl><dt>.Object</dt>
<dd>object of class "MCResult".</dd></dl>

Arguments

Calculate PaBa Ties Ratio. — MCResult.calcPaBaTiesRatio

<dl>

<dt>.Object</dt>
<dd>object of class "MCResult".</dd>

</dl>

Calculate PaBa Ties Ratio.

MCResult.calcPaBaTiesRatio: Calculate PaBa Ties Ratio.

Description

Usage

Value

Arguments