mc.wlinreg

The weights of regression are taken as reverse squared values of the reference method, 
 that's why it is impossible to achieve the calculations for zero values.

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 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>).
A comprehensive overview over the implemented methods and references can be found
in the manual pages "mcr-package" and "mcreg".

Sergej Potapov

Method Comparison Regression

Fabian Model

Andre Schuetzenmeister

Ekaterina Manuilova

Florian Dufey

Jakob Raymaekers

Venkatraman E. Seshan

Roche 

mc.wlinreg function

<dl><dt>X</dt>
<dd>measurement values of reference method.</dd>
<dt>Y</dt>
<dd>measurement values of test method.</dd></dl>

Arguments

Calculate Weighted Ordinary Linear Regression
and Estimate Standard Errors — mc.wlinreg

<dl>

<dt>X</dt>
<dd>measurement values of reference method.</dd>


<dt>Y</dt>
<dd>measurement values of test method.</dd>

</dl>

mc.wlinreg: Calculate Weighted Ordinary Linear Regression and Estimate Standard Errors

Description

Usage

Value

Arguments

References