Brenner H
Unit of Epidemiology, University of Ulm, Germany.
Epidemiology. 1995 Jan;6(1):42-8. doi: 10.1097/00001648-199501000-00009.
Capture-recapture techniques are employed increasingly to correct for underascertainment of cases in epidemiologic surveillance. A key assumption of the basic two-source capture-recapture method is the independence of sources, which is often violated in practice. This paper provides a quantitative comparison of the performance of the capture-recapture method and the traditional registration approach in disease monitoring with two dependent sources. If sources are negatively dependent, underascertainment of cases by the traditional registration approach is transformed into overestimation of case numbers with the capture-recapture method. This overestimation can be extreme under certain conditions. Application of the capture-recapture method is therefore discouraged if negative source dependence is of concern. In other situations, the capture-recapture method can be a valuable tool to correct for underascertainment of cases. Although the correction remains imperfect if notifications from both sources are positively dependent, underestimation of case numbers is typically much less severe than with the traditional registration approach. I illustrate the findings for a broad range of registration scenarios and provide empirical examples from population-based cancer registration. I also discuss strategies that may minimize the degree of source dependence in the design and analysis of capture-recapture studies.
捕获再捕获技术在流行病学监测中越来越多地被用于校正病例报告不足的情况。基本的双源捕获再捕获方法的一个关键假设是来源的独立性,而这在实际中常常不成立。本文对双源相关情况下疾病监测中捕获再捕获方法和传统登记方法的性能进行了定量比较。如果来源呈负相关,传统登记方法对病例的漏报会在捕获再捕获方法中转变为病例数的高估。在某些情况下,这种高估可能会很严重。因此,如果担心来源呈负相关,不建议使用捕获再捕获方法。在其他情况下,捕获再捕获方法可能是校正病例报告不足的一个有价值的工具。尽管如果两个来源的报告呈正相关,校正仍然不完善,但病例数的低估通常比传统登记方法要轻得多。我展示了广泛登记场景下的研究结果,并提供了基于人群的癌症登记的实证例子。我还讨论了在捕获再捕获研究的设计和分析中可能使来源依赖程度最小化的策略。