mc.calc.tboot

Calculate resampling confidence intervals for intercept, slope or bias
with t-Boot method given a vector of bootstrap point estimates and a vector of bootstrap 
standard deviations.

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.calc.tboot function

<dl><dt>Xboot</dt>
<dd>vector of point estimates for bootstrap sample. 
The i-th element contains the point estimate for the i-th bootstrap sample.</dd>
<dt>Sboot</dt>
<dd>vector of standard deviations for each bootstrap sample. 
It schould be estimated with any analytical method or nonparametric with nested bootstrap.</dd>
<dt>xhat</dt>
<dd>point estimate for the complete data set (scalar).</dd>
<dt>shat</dt>
<dd>estimate of standard deviation for the complete data set (scalar).</dd>
<dt>alpha</dt>
<dd>numeric value specifying the 100(1-alpha)% confidence level for the confidence interval (Default is 0.05).</dd></dl>

Arguments

Bootstrap-t Method for Calculation of Resampling Confidence Intervals — mc.calc.tboot

<dl>

<dt>Xboot</dt>
<dd>vector of point estimates for bootstrap sample. 
The i-th element contains the point estimate for the i-th bootstrap sample.</dd>


<dt>Sboot</dt>
<dd>vector of standard deviations for each bootstrap sample. 
It schould be estimated with any analytical method or nonparametric with nested bootstrap.</dd>


<dt>xhat</dt>
<dd>point estimate for the complete data set (scalar).</dd>


<dt>shat</dt>
<dd>estimate of standard deviation for the complete data set (scalar).</dd>


<dt>alpha</dt>
<dd>numeric value specifying the 100(1-alpha)% confidence level for the confidence interval (Default is 0.05).</dd>

</dl>

mc.calc.tboot: Bootstrap-t Method for Calculation of Resampling Confidence Intervals

Description

Usage

Value

Arguments

References