%diag_test:一种通用的SAS宏,用于评估多个诊断测试的诊断准确度指标
Jacques K Muthusi1, Peter W Young2, Frankline O Mboya3
1Division of Global HIV and Tuberculosis, Global Health Centre, U.S. Centres for Disease Control and Prevention, P.O. Box 606 - 00621, Nairobi, Kenya. mwj6@cdc.gov.
本研究介绍了一种SAS宏,用于使用个人级数据评估多个诊断测试,自动化分析和减少错误. 该工具生成了全面的准确度指标和图形,帮助研究人员进行测试选择.
科学领域:
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 诊断测试准确度指标 (DAMs),如灵敏度,特异性,AUROC和AUPRC,对于评估医疗测试至关重要.
- 现有的分析工具通常专注于使用总结数据的单个诊断测试.
- 需要有效的方法来分析使用个人级别数据的多个诊断测试.
研究的目的:
- 开发和介绍一个SAS宏观的综合评估多个诊断测试.
- 为了自动化个人级别诊断测试数据的分析,减少时间和错误.
- 为研究人员提供出版质量的成果,包括各种准确度指标和图形表示.
主要方法:
- 一个SAS宏被开发来处理个人级别的数据用于诊断测试评估.
- 该宏自动创建2x2汇总表,AUROC和AUPRC.
- 它要求用户指定输入数据集,标准和测试变量以及值.
主要成果:
- 通过复制已公布的干血斑点 (DBS) 测试结果来对艾滋病毒病毒载量监测进行验证.
- 它还被用来复制机器学习算法对冠状动脉疾病预测的发现.
- 输出包括超过15个精度测量和叠加的AUROC/AUPRC图形.
结论:
- SAS宏是一个强大的工具,用于分析多个诊断测试,提高效率和准确性.
- 分析的自动化节省了时间,最大限度地减少了转录错误,并产生了准备出版的结果.
- 宏的源代码可以修改,以包含额外的诊断措施和差异估计方法.
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