| creatinine_serum | R Documentation |
Synthetic dataset comparing serum creatinine measurements from two analytical methods: an enzymatic method (reference) and the Jaffe colorimetric method. This is a classic method comparison scenario where the Jaffe method is known to have positive interference from proteins and other chromogens.
creatinine_serum
A data frame with 80 observations and 3 variables:
Character. Unique sample identifier.
Numeric. Creatinine concentration (mg/dL) measured by the enzymatic method.
Numeric. Creatinine concentration (mg/dL) measured by the Jaffe method.
This synthetic dataset was designed to illustrate well-known patterns in creatinine method comparisons:
Concentration range: 0.4-8.0 mg/dL, from normal kidney function to severe chronic kidney disease (CKD)
Bias pattern: Jaffe method shows positive bias, more pronounced at lower concentrations due to pseudocreatinine interference
Outliers: A few samples show larger positive bias, simulating interference from bilirubin, hemolysis, or ketones
The enzymatic method is more specific and has largely replaced the Jaffe method in modern clinical laboratories, though the Jaffe method remains in use in some settings due to lower reagent costs.
Synthetic data generated to mimic realistic clinical patterns. See
data-raw/make_datasets.R for the generation script.
Peake M, Whiting M. Measurement of serum creatinine–current status and future goals. Clin Biochem Rev. 2006;27(4):173-184.
ba_analysis(), glucose_methods, troponin_cardiac
# Bland-Altman analysis
ba <- ba_analysis(enzymatic ~ jaffe, data = creatinine_serum)
summary(ba)
plot(ba)
# Note: Jaffe typically shows positive bias vs enzymatic
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