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In a method comparison study, we confirmed that all four methods correlated (r greater than 0.95).
As proportionately higher enzymatic values (within biological criteria) were also observed in a method comparison experiment (part of the method validation) using random urine samples from adults, this is probably to a large extent caused by a calibration difference.
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The sample size was based on the general recommendations of Altman of at least 50 subjects in a methods comparison study [ 25].
It is analogous to assessing the significance of the correlation between methods of measurement in a method-comparison study [ 38], where the inappropriate null hypothesis is of no association between two methods that are supposed to measure the same thing.
In summary, we have presented a methods comparison study of three assays for the detection of KRAS mutation in FFPET specimens of CRC.
This is similar to the equivalent measure of concordance reported in a recent methods comparison study involving lacZ whole-mount analysis (76.6%; West et al., 2015).
In a study of method comparison, assessment of within-method repeatability is important, because the repeatability of each of two methods limits the amount of agreement, which is possible [ 16, 23].
In this context, Johansson and Westerling have proposed in 2002 a method of comparison of ICD9 codes [ 7].
113 samples were included in the method comparison analysis.
A number of methodological challenges arise in method comparison research with respect to the application of Bland Altman and trending analysis.
Rather than conflicting with each other, the principles of non-maleficence and beneficence were utilised in a method of constant comparison, to continuously reassess and reflect upon the options.
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