Abstract
Interaction matrices have myriad applications. In the Chap. 12 it can be observed that they perform well for assessing relative health risks, making predictions from nominal and ordinal clinical data (Chap. 9–11), and statistical testing of outcome scores. In this chapter we will assess, if they also can be applied to measure agreement. Agreement, otherwise called reproducibility or reliability, of duplicate observations is the fundament of diagnostic procedures, and, therefore, also the fundament of much of scientific research.
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Cleophas, T.J., Zwinderman, A.H. (2015). Measuring Agreement (30 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_13
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DOI: https://doi.org/10.1007/978-3-319-15195-3_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
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