creatinine

<p>This data set gives the blood and serum preoperative creatinine
       measurements in 110 heart surgery patients.</p>

datasets

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

Roche 

creatinine function

<p>A data frame containing 110 observations with serum and plasma creatinin measurements in mg/dL for each sample.</p>

Format

Comparison of blood and serum creatinine measurement — creatinine

Comparison of blood and serum creatinine measurement

creatinine: Comparison of blood and serum creatinine measurement

Description

Usage

Arguments

Format