Demonstration of Multi- and Single-Reader Sample Size Program for Diagnostic Studies software.
Demonstration of Multi- and Single-Reader Sample Size Program for Diagnostic Studies software.
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用于诊断研究软件的多和单读者样本量程序演示。
DOI：
10.1117/12.2083150
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Schartz,KevinM
中科院分区：
文献类型：
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作者：
Hillis,StephenL;Schartz,KevinM
最近发布的软件多阅读器样本大小和单阅读器样本大小诊断研究样本大小程序由 Kevin Schartz 和 Stephen Hillis 编写，可以执行诊断阅读器性能研究的样本大小计算。该程序使用最初由 Dorfman、Berbaum 和 Metz (DBM) 以及 Obuchowski 和 Rockettte (OR) 提出、后来由 Hillis 及其同事统一和改进的分析方法，计算检测两种模式之间阅读器性能测量的指定差异所需的样本量。常用的读取器性能测量是接收器操作特性曲线下的面积。该程序可与典型的常见读取器性能测量一起使用，这些测量可通过参数或非参数进行估计。该程序具有易于使用的分步直观界面，可引导用户输入所需信息。该软件的特点包括：（1）多种研究设计的选择； (2) 选择从 OR 或 DBM 分析获得的输入； （3）三种不同推理情况的选择：读者和案例随机、读者固定和案例随机、读者随机和案例固定； (4) 两种假设的选择：等价性或非劣性； (6) 两种输出格式的选择：指定案例和读取器样本大小的功率，或提供指定功率的案例-读取器组合列表； (7) 单读者分析或多读者分析的选择； (8) Windows、Mac OS 和 Linux 中的功能。
The recently released softwareMulti- and Single-Reader Sample Size Sample Size Program for Diagnostic Studies, written by Kevin Schartz and Stephen Hillis, performs sample size computations for diagnostic reader-performance studies. The program computes the sample size needed to detect a specified difference in a reader performance measure between two modalities, when using the analysis methods initially proposed by Dorfman, Berbaum, and Metz (DBM) and Obuchowski and Rockette (OR), and later unified and improved by Hillis and colleagues. A commonly used reader performance measure is the area under the receiver-operating-characteristic curve. The program can be used with typical common reader-performance measures which can be estimated parametrically or nonparametrically. The program has an easy-to-use step-by-step intuitive interface that walks the user through the entry of the needed information. Features of the software include the following: (1) choice of several study designs; (2) choice of inputs obtained from either OR or DBM analyses; (3) choice of three different inference situations: both readers and cases random, readers fixed and cases random, and readers random and cases fixed; (4) choice of two types of hypotheses: equivalence or noninferiority; (6) choice of two output formats: power for specified case and reader sample sizes, or a listing of case-reader combinations that provide a specified power; (7) choice of single or multi-reader analyses; and (8) functionality in Windows, Mac OS, and Linux.