Extended biasplot command to assess bias, precision, and agreement in method comparison studies
Patrick Taffé (),
Mingkai Peng (),
Vicki Stagg () and
Tyler Williamson ()
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Patrick Taffé: University of Lausanne
Mingkai Peng: University of Calgary
Vicki Stagg: Calgary Statistical Support
Tyler Williamson: University of Calgary
Stata Journal, 2023, vol. 23, issue 1, 97-118
Abstract:
Recently, a new statistical methodology to assess the bias and precision of a new measurement method, which circumvents the deficiencies of the Bland and Altman (1986, Lancet 327: 307–310) limits of agreement method, was de- veloped by Taffé (2018, Statistical Methods in Medical Research 27: 1650–1660). Later, the methodology was extended to assess the agreement. In addition, to allow for inferences, simultaneous confidence bands around the bias, precision, and agreement lines were developed (Taffé, 2020, Statistical Methods in Medi- cal Research 29: 778–796). The goal of this article is to introduce the extended biasplot command, which implements these latest developments, and to illustrate its use by applying it to simulated data included with the command. Note that the Taffé method assumes that there are several measurements by one of the two measurement methods and possibly as few as one measurement by the other for each individual. The repeated measurements need not come from the reference standard but from any of the two measurement methods. This is a great advan- tage because it may sometimes be more feasible to gather repeated measurements either with the reference standard or the new measurement method.
Keywords: biasplot; agreement; bias; precision; limits of agreement; differential bias; proportional bias; method comparison (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:23:y:2023:i:1:p:97-118
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DOI: 10.1177/1536867X231161978
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