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When analysing a sample statistically, the quality of the resulting parameters (measures of location, dispersion, etc.) depends on the reliability or credibility of the data and on the analysis undertaken. The data provided by interlaboratory comparisons, and especially key comparisons, is of sufficient importance that approaches are required which are as(More)
A computer model of a patient-specific clinical (177)Lu-DOTATATE therapy dosimetry system is constructed and used for investigating the variability of renal absorbed dose and biologically effective dose (BED) estimates. As patient models, three anthropomorphic computer phantoms coupled to a pharmacokinetic model of (177)Lu-DOTATATE are used. Aspects(More)
Metrology, the science of measurement, involves the determination of physical quantities from experiment, along with estimates of their associated uncertainties. In this endeavour, a mathematical model of the measurement system is required in order to extract information from the experimental data. This involves model building: developing a mathematical(More)
Extracts from this guide may be reproduced provided the source is acknowledged and the extract is not taken out of context ABSTRACT This guide provides best practice on the evaluation of uncertainties within metrology, and on the support to this topic given by statistical modelling. It is motivated by two principle considerations. One is that although the(More)
Models are used in metrology to characterise measurement data and, where appropriate, the process which produced that data. Indeed, modelling is a procedure designed to extract information from data. Therefore, for any proposed model, the question then arises: is the information provided by the model comprehensive and reliable? This question is resolved by(More)