Heisterkamp S H, Jager J C, Ruitenberg E J, Van Druten J A, Downs A M
Centre for Mathematical Methods, National Institute of Public Health and Environmental Protection, Bilthoven, The Netherlands.
Stat Med. 1989 Aug;8(8):963-76. doi: 10.1002/sim.4780080807.
This study is motivated by the time lag between date of diagnosis of AIDS cases and date of reporting, which results in incomplete data about the epidemic. A maximum likelihood procedure has been developed to adjust the actual numbers of diagnosed AIDS cases for reporting delay. If a parametric function for describing past and future incidence is assumed, its parameters and the adjustment for reporting delay can be estimated simultaneously. Data from the WHO Collaborating Centre on AIDS, Paris, are used. Practical problems related to data collection are dealt with.
本研究的动机源于艾滋病病例诊断日期与报告日期之间的时间差,这导致了有关该流行病的不完整数据。已开发出一种最大似然程序,以调整诊断出的艾滋病病例的实际数量,以应对报告延迟问题。如果假定一个用于描述过去和未来发病率的参数函数,那么其参数以及报告延迟的调整量就可以同时进行估计。本研究使用了来自巴黎世界卫生组织艾滋病合作中心的数据,并处理了与数据收集相关的实际问题。