Diagnostic accuracy studies often evaluate diagnostic tests at several threshold values, aiming to make recommendations on optimal thresholds for use in practice. Methods for meta‐analysis of full receiver operating characteristic (ROC) curves have been proposed but still have deficiencies. We recently proposed a parametric approach that is based on bivariate time‐to‐event models for interval‐censored data to this task. To increase the flexibility of that approach, to cover a wide range of distributions of diagnostic test values and to address the open point of model selection, we here suggest to use the generalized F family of distributions that includes previously used distributions for the bivariate time‐to‐event model as special cases. The results of a simulation study are given as well as an illustration by an example of population‐based screening for type 2 diabetes mellitus.

中文翻译：

---

完整的ROC曲线的Meta分析以及诊断测试值的灵活参数分布。

诊断准确性研究通常会在几个阈值下评估诊断测试，旨在就实际应用中的最佳阈值提出建议。已经提出了对全接收器工作特性（ROC）曲线进行荟萃分析的方法，但仍存在缺陷。我们最近提出了一种基于双变量时间事件模型的参数化方法，用于该任务的间隔检查数据。为了增加该方法的灵活性，以覆盖诊断测试值的广泛分布并解决模型选择的开放点，我们在这里建议使用广义F作为特殊情况，包括先前用于双变量时间事件模型的分布的分布族。给出了模拟研究的结果，并举例说明了基于人群的2型糖尿病筛查。