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A hierarchical modelling approach for measuring reliability of and agreement between two types of magnetic field dosimeter
Author(s) -
Brazzale Alessandra Rosalba,
Salvan Alberto,
Roletti Stefano
Publication year - 2004
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1046/j.1467-9876.2003.05172.x
Subject(s) - reliability (semiconductor) , calibration , measure (data warehouse) , computer science , set (abstract data type) , protocol (science) , extension (predicate logic) , field (mathematics) , dosimeter , interpretation (philosophy) , reliability engineering , statistical physics , data mining , algorithm , statistics , mathematics , physics , engineering , optics , radiation , power (physics) , pure mathematics , medicine , alternative medicine , pathology , quantum mechanics , programming language
Summary. The paper describes how to use hierarchical models to assess the reliability of and agreement between two or more types of measurement device. The idea is illustrated by fitting a linear model with nested random effects to a set of data that was obtained from the calibration of two samples of extremely low frequency magnetic field meters. The paper focuses on the formulation of a suitable model that accounts for the various aspects of the calibration protocol and the subsequent interpretation of the parameter estimates. The approach is very flexible and can easily be tuned to the various needs arising in the measurement agreement framework. It can be seen as an extension of the common practice of using a one‐way random‐effects model to retrieve a measure of agreement.