mc.make.CIframe

Returns Results of Calculations in Matrix Form

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.make.CIframe function

<dl><dt>b0</dt>
<dd>point estimate for intercept.</dd>
<dt>b1</dt>
<dd>point estimate for slope.</dd>
<dt>se.b0</dt>
<dd>standard error of intercept estimate.</dd>
<dt>se.b1</dt>
<dd>standard error of slope estimate.</dd>
<dt>CI.b0</dt>
<dd>numeric vector of length 2 - confidence interval for intercept.</dd>
<dt>CI.b1</dt>
<dd>numeric vector of length 2 - confidence interval for slope.</dd></dl>

Arguments

Returns Results of Calculations in Matrix Form — mc.make.CIframe

<dl>

<dt>b0</dt>
<dd>point estimate for intercept.</dd>


<dt>b1</dt>
<dd>point estimate for slope.</dd>


<dt>se.b0</dt>
<dd>standard error of intercept estimate.</dd>


<dt>se.b1</dt>
<dd>standard error of slope estimate.</dd>


<dt>CI.b0</dt>
<dd>numeric vector of length 2 - confidence interval for intercept.</dd>


<dt>CI.b1</dt>
<dd>numeric vector of length 2 - confidence interval for slope.</dd>

</dl>

mc.make.CIframe: Returns Results of Calculations in Matrix Form

Description

Usage

Value

Arguments