biasplot: A package to effective plots to assess bias and precision in method comparison studies

Patrick Taffé (), Mingkai Peng (), Vicki Stagg () and Tyler Williamson ()
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Patrick Taffé: Institute for Social and Preventive Medicine, University of Lausanne
Mingkai Peng: University of Calgary
Vicki Stagg: Calgary Statistical Support
Tyler Williamson: University of Calgary

Stata Journal, 2017, vol. 17, issue 1, 208-221

Abstract: Bland and Altman’s (1986, Lancet 327: 307–310) limits of agreement have been used in many clinical research settings to assess agreement between two methods of measuring a quantitative characteristic. However, when the variances of the measurement errors of the two methods differ, limits of agreement can be misleading. biasplot implements a new statistical methodology that Taff ́e (Forthcoming, Statistical Methods in Medical Research) recently developed to circumvent this issue and assess bias and precision of the two measurement methods (one is the reference standard, and the other is the new measurement method to be evaluated). biasplot produces three new plots introduced by Taffé: the “bias plot”, “precision plot”, and “comparison plot”. These help the investigator visually evaluate the performance of the new measurement method. In this article, we introduce the user-written command biasplot and present worked examples using simulated data included with the package. Note that the Taffé method assumes there are several measurements from the reference standard and possibly as few as one measurement from the new method for each individual.

Keywords: biasplot; limits of agreement; differential bias; proportional bias; Bland–Altman’s plot; method comparison; measurement; empirical Bayes; BLUP (search for similar items in EconPapers)
Date: 2017
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