The Problem of Conversion in Method Comparison Studies

This paper introduces an extension of the well-known method comparison problem previously studied by Altman and Bland and others. The problem concerns the comparison of two approximate methods of measuring a quantity which return results expressed in different units. Such situations can arise where...

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Bibliographic Details
Published in:Applied Statistics 1991-01, Vol.40 (1), p.105-112
Main Authors: Lewis, P. A., Jones, P. W., Polak, J. W., Tillotson, H. T.
Format: Article
Language:English
Subjects:
Applications
Biology, psychology, social sciences
Calibration
Confidence interval
Conversion
Exact sciences and technology
Fuel consumption
Insurance, economics, finance
Mathematical constants
Mathematical limits
Mathematics
Medical sciences
Method comparison
Probability and statistics
Proxy reporting
Proxy statements
Reliability, life testing, quality control
Sciences and techniques of general use
Statistical discrepancies
Statistics
Transportation engineering
Turbines
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Description
Summary:This paper introduces an extension of the well-known method comparison problem previously studied by Altman and Bland and others. The problem concerns the comparison of two approximate methods of measuring a quantity which return results expressed in different units. Such situations can arise where the methods in question proceed by measuring proxy quantities. Thus the data sets need to be converted to the same units before comparisons may take place. The paper presents an approach to this problem based on the theory of structural relationship models. This approach is applied to data gathered by two approximate methods of measuring the fuel consumption of motor vehicles.
ISSN:0035-9254
1467-9876
DOI:10.2307/2347908