Statistical methods in assessing agreement: Models, issues, and tools
Statistical methods in assessing agreement: Models, issues, and tools
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DOI：
10.1198/016214502753479392
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发表时间：
2002-03-01
影响因子：
3.7
通讯作者：
Yang, M
中科院分区：
文献类型：
--
作者：
Lin, L;Hedayat, AS;Yang, M
在实验室性能、仪器或化验验证、方法比较、统计过程控制、拟合度和个体生物等效性等领域，评估新的或通用的过程、方法和配方的可接受性需要一致性的测量，在所有这些领域，需要测量捕获与目标值有意义的边界内的很大比例的数据。目标值可以被认为是随机的(有误差的测量)或固定的(已知的)，具体取决于具体情况。只有在过去十年才能采取各种有意义的措施来应对这种多种多样和复杂的局势。这些衡量标准通常假设目标值是随机的，本文回顾了文献，并从“覆盖概率”的角度提出了方法。此外，当目标值是固定的，并且当误差结构是同质的或异质的(与目标值成比例)时，引入了上述所有测量值的解析表达式。本文比较了所有竞争方法接受协议的渐近能力，并讨论了每种方法的利弊。使用目标值为随机或固定时的数据进行说明。用于计算所有建议方法的SAS宏程序可从http://www.uic.edu/similar Today下载。
Measurements of agreement are needed to assess the acceptability of a new or generic process, methodology, and formulation in areas of laboratory performance, instrument or assay validation, method comparisons, statistical process control, goodness of fit, and individual bioequivalence, In all of these areas, one needs measurements that capture a large proportion of data that are within a meaningful boundary from target values. Target values can be considered random (measured with error) or fixed (known), depending on the situation. Various meaningful measures to cope with such diverse and complex situations have become available only in the last decade. These measures often assume that the target values are random, This article reviews the literature and presents methodologies in terms of "coverage probability." In addition, analytical expressions are introduced for all of the aforementioned measurements when the target values are fixed and when the error structure is homogenous or heterogeneous (proportional to target values). This article compares the asymptotic power of accepting the agreement across all competing methods and discusses the pros and cons of each. Data when the target values ire random or fixed are used for illustration. A SAS macro program to compute all of the proposed methods is available for download at http://www.uic.edu/similar tohedayat/.