We are here concerned with the comparison of the performance to two or more measurement devices or procedures. At its simplest, a method comparison study involves the measurement of a given characteristic on a sample of subjects or specimens by two different methods. One possible question is then whether measurements taken by the two different methods are interchangeable. Another is whether one of the two methods is more or less precise than the other. A third, more difficult task, is to calibrate one set of fallible measurements (using Device A, for example) against another set of fallible measurements produced by device B. A potentially-serious problem in all of these situations is the possibility that the measurement errors arsing from the use of these two devices may be correlated. A slightly more complicated study involves replication of each of the sets of measurements taken using the two different procedures or devices, usually carried out on the naïve assumption that the...
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References and Further Reading
Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310
Carroll RJ, Ruppert D (1996) The use and misuse of orthogonal regression in linear errors-in-variables models. Am Stat 50:1–6
Dunn G (2004) Statistical evaluation of measurement errors. Arnold, London
Dunn G (2007) Regression models for method comparison data. J Biopharm Stat 17:739–756
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Dunn, G. (2011). Method Comparison Studies. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_36
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