Bland JM, DG Altman. (1999) Measurement agreement in comparative study of methods. Statistical methods in medical research 8, 135-160. t1 – α (-z p N1.2) is 100 (1 – α) is 100 (1 – α) and t1 – α (-, -z p N1.2) – .t(, p n1`2) for 0 < α < 1. In addition, a one-sided confidence interval of 100 (1 – α) is a one-sided confidence interval of `∞`, or the use of non-parametric percentiles if these assumptions are not included. For blood pressure data with the size of the sample N-85 presented to Bland and Altman [2], the average sampling difference (less machine observer) and the standard deviation of differences S -19.61 are the 95% confidence intervals – 48.3770, – 47,5754, 48.3770, – 47,5754, and , and , For the estimate of the interval of 97.5. Percentiles are the exact confidence intervals and the two confidence intervals approximate to 95%" ("breithat") L, "breithat" U – 15.7970 , 30.3701, AL , although the differences between these estimates are not significant, It is important to note that the confidence limits of the 2.5th percentile are located in the increasing order of " (breithat"uptheta) L < " (breithat"uptheta) AL < . widehat-uptheta-) BAL and "widehat" -Uptheta (U-<) ("widehat" "uptheta") AU < " (breithat" -uptheta- While the confidence limits of 97.5. The percentiles have the opposite situation: "("widehat"uptheta") BAL < "breithat" ("breithat" -Uptheta-Nr.) AL-< "breithat" -Uptheta- and "breithat" -upthe < <ta

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