摘要
[目的]探讨无金标准条件下诊断试验准确性评价的潜分类方法。[方法]介绍潜分类模型在无金标准诊断试验评价中的原理、试验设计和评价方法,用两人群两试验实例说明潜分类方法的应用。[结果]对于二分类反应变量,假设条件独立和试验准确性稳定,至少需要两个人群两种试验方法或一个人群三种试验方法才能满足模型可识别性并用于频率学派统计评价;贝叶斯统计不需满足模型的可识别性,但需引入先验分布,且存在先验依赖性。[结论]潜分类方法可用于无金标准时的诊断试验评价,但要选择适合的试验设计和评价方法。
[Objective] To study the application of latent class method in the evaluation of accuracy for diagnostic test without a gold standard.[Methods] The principle,design and evaluation based on latent class model were considered in diagnostic tests without a gold standard.An example with two population and two tests was demonstrated for the application of latent class.[Results] There were at least two populations and two tests,or one population and three tests in classic statistics to satisfy the model identifiability for dichotomization response variable,under the assumption of independence and invariability of accuracy.Bayesian statistics could be used in non-identifiability model with the introduction of prior distribution,but prior dependence became more obvious in the lower prevalence.[Conclusion] It is helpful to evaluate the accuracy of diagnostic test without a gold standard using latent class method,however,the appropriate design and method should be selected carefully.
出处
《环境与职业医学》
CAS
北大核心
2010年第12期735-738,共4页
Journal of Environmental and Occupational Medicine
基金
国家自然科学基金资助项目(编号:30771867)
关键词
潜分类
无金标准
诊断试验
准确性
latent class
absence of a gold standard
diagnostic test
accuracy
