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A hundred selected specimens and many clinical specimens were tested for methods comparison and assay validation.
In summary, we believe the tool adds value to the scarce existing literature on methods comparison and selection.
In our analysis we aimed to focus on analytical approaches and present very detailed outputs of the methods and their comparison in order for this example to serve as both the demonstration of approach to methods comparison, and the presentation of actual findings from such comparison.
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Due to the large number of methods, comparisons and outcomes, we did not include discussion of subgroup analyses.
Method comparison and bias estimation are important components of these studies.
They also should be able to interpret many statistical tests, as an integral part of method comparison and assay validation.
Epub 2018 May 3. "Method Comparison and Validation of a Prototype Device for Measurement of Ionized Calcium Concentrations Cow-Side Against a Point-of-Care Instrument and a Benchtop Blood-Gas Analyzer Reference Method". Neves RC, Stokol T, Bach KD, McArt JAA.
H.P. led the development of the sleuth statistical model and was assisted by S.P., N.L.B., P.M., and L.P. The method comparison and testing framework was designed by H.P., N.L.B., P.M., and L.P. The interactive sleuth live software was designed and implemented by H.P., as was the sleuth R package.
In method comparison and reliability studies, it is often important to assess agreement between multiple measurements made by different methods, devices, laboratories, observers, or instruments.
This influences the bias in method comparison and therewith the statements about measurement error.
Figure 4 shows a two-stage method comparison and selection mechanism using two matrices and one table (Table 5).
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