To tolerate or to agree: A tutorial on tolerance intervals in method comparison studies with BivRegBLS R Package
| Autor: | Marion Berger, Charles Boachie, Bernard G. Francq |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Epidemiology tolerance interval 01 natural sciences Tutorial in Biostatisticss 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Tutorial in Biostatistics Statistics Bland‐Altman Confidence Intervals method comparison studies Humans 030212 general & internal medicine 0101 mathematics Mathematics Probability Measurement method BivRegBLS R package prediction interval coverage probabilities Confidence interval Method comparison Interval (graph theory) Tolerance interval agreement |
| Zdroj: | Statistics in Medicine |
| ISSN: | 1097-0258 0277-6715 |
| Popis: | The well-known agreement interval by Bland and Altman is extensively applied in method comparison studies. Two clinical measurement methods are considered interchangeable if their differences are not clinically significant. The agreement interval is commonly applied to assess the spread of the differences. However, this interval is approximate (too narrow) and several authors propose calculating a confidence interval around each bound. This article demonstrates that this approach is misleading, awkward, and confusing. On the other hand, tolerance intervals are exact and can include a confidence level if needed. Tolerance intervals are also easier to calculate and to interpret. Real data sets are used to illustrate the tolerance intervals with the R package BivRegBLS under normal or log-normal assumptions. Furthermore, it is also explained how to assess the coverage probabilities of the tolerance intervals with simulations. |
| Databáze: | OpenAIRE |
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