8. Bella ML, Teixeira-Pintoc A, McKenzied JE, Oliviere J. A variety of methods: The sample size calculated for two proportions depended on the choice of sample size formula and software. J Clin Epidemiol 2014;67:601-605. 9. Bland JM. How can I determine the sample size for a study of the match between two measurement methods? Available at: www-users.york.ac.uk/~mb55/meas/sizemeth.htmAccessed: 15 August 2015. 7. Hamilton C, Stamey J. With Bland-Altman to evaluate the agreement between two medical devices – don`t forget the confidence intervals! J Clin Monit Comput 2007;21:331-333. 13. Julious SA. Sample size for clinical trials with normal data.
Stat Med 2004;23:1921-1986. We set α-0.05, β 0.20, μ 0.4 0.4, δ -2.7 and predetermined power – 80%. Figure 2 shows the sizes and strengths of the B-A sample and the new method under different parameter parameters. For the Bland-Altman method, the sample size is calculated without taking into account the effectiveness of the statistical method, so the probability of obtaining the required width is only 0.50. With the new method, the resulting performance is generally close to 80% performance. 6. Chhapola V, Kanwal SK, Brar R. Reporting Standards for Bland-Altman Agreement analysis in labor research: a cross-sectional survey of current practice.
Ann Clin Biochem 2015;52:382-386. Lin et al.  had discussed some questions about sample size using the tolerance interval; There are, however, some flaws. First, Lins`s study indicates the hypothesis of the method of calculating the sample size just below μ-0, which is not taken into account for μ≠0. In fact, the two measures may not be perfectly consistent (μ≠0), but we still believe that their coherence as a population difference in a certain acceptable area (δ). On Lin`s paper, we can see that the simulated power is consistently less than the power prescribed for all construction specifications, so the sample sizes are greatly underestimated. For μ-0, the calculation of sample size can be written as follows: Table 2 indicates that the affected forces are generally close to 80% or 90% power. It shows that the formulas give reasonable estimates of sample size with eqs (5) and (6) for different parameter parameters. A table shows the sample size required for different Type I and Type II error levels. In the example, the total sample size required is at least 83.
In this article, we propose a method of calculating sample size for the Bland-Altman method, and Monte Carlo simulations are used to verify the accuracy of the method. In section 2, we present the hypotheses and theory of the Bland-Altman method. Section 3 focuses on determining the new method of estimating sample size for the Bland-Altman method.