又称为结构回归模型(structural regression models)(Raykov & Marcoulides, 2000)或统合模型分析(hybrid modeling) 验证性因素分析与路径分析的相遇
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我们采用双变量模型进行了统合分析以出示敏感性和特异性的汇总估计。
We performed meta-analyses using the bivariate model to produce summary estimates of sensitivity and specificity.
进行随机效果模型统合回归分析以评估试验间异质性的来源。
Random-effects model meta-regression analyses were performed to assess sources of intertrial heterogeneity.
通过辅助子系统合理性检验、参数敏感性分析以及历史数据吻合性检验、验证该模型参数选择的合理性和总体功能的有效性。
The model is proved to be reasonable in parameter and effective in main function through test of auxiliary subsystem soundness, parameter sensitivity and history data consistency.
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