中央评价设置中审稿人敏锐度的最大似然估计:分类数据。

Q1 Mathematics

Theoretical Biology and Medical Modelling Pub Date : 2011-03-25 DOI:10.1186/1742-4682-8-3

Wei Zhao, James M Boyett, Mehmet Kocak, David W Ellison, Yanan Wu

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引用次数: 0

摘要

成功地评估病理学家的敏锐度对于提高他们对组织病理变量的要求的一致性非常有用。我们提出了一种新的方法来估计审稿人的敏锐度基于他们的组织病理学呼叫。先前提出的方法包含冗余参数，无法识别，结果不正确。通过大量的仿真研究表明，新方法对初始值的依赖较小，收敛于真实参数。新方法对麻醉师数据集的分析结果更有说服力。

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Maximum likelihood estimation of reviewers' acumen in central review setting: categorical data.

Successfully evaluating pathologists' acumen could be very useful in improving the concordance of their calls on histopathologic variables. We are proposing a new method to estimate the reviewers' acumen based on their histopathologic calls. The previously proposed method includes redundant parameters that are not identifiable and results are incorrect. The new method is more parsimonious and through extensive simulation studies, we show that the new method relies less on the initial values and converges to the true parameters. The result of the anesthetist data set by the new method is more convincing.

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来源期刊

Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.