Nomogram for sample size calculation in assessing validity of a new method based on a regression line

Hyunsook Hong, Seokyoung Hahn, Ho Kim and Yunhee Choi

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 16, 5900-5909

Abstract: The validity of a newly developed diagnostic method is usually proven by comparing with a well-grounded reference method. When measurements from a new method are continuous but in different units from a reference standard and having a linear relationship, validity can be usually assessed by Pearson correlation coefficient, but it does not provide clinical guidance for judging validity. We defined a limits-of-agreement derived from regression models for assessing validity of new method, and developed a sample size formula. The sample size formula to achieve a certain probability that the limits-of-agreement is within a pre-defined, clinically acceptable range [−δ, δ] was derived and the result is presented as a nomogram. When a ratio of upper bound of a limits-of-agreement to δ is expected to be 0.95, a sample size of approximately 300 achieves a 90% probability that the limits-of-agreement lies within ± δ. The simulation showed that the suggested sample size formula had the targeted coverages. The sample size determination based on a limits-of-agreement is practical for showing validity of new methods, measuring the same attribute but in different units, and the presented nomogram is useful.

Date: 2023
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DOI: 10.1080/03610926.2021.2023182

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