Oja H, Alho O P, Läärä E
Department of Mathematical Sciences/Statistics, University of Oulu, Finland.
Stat Med. 1996 Jul 30;15(14):1519-34. doi: 10.1002/(SICI)1097-0258(19960730)15:14<1519::AID-SIM280>3.0.CO;2-5.
The methods of adjustment for estimation of the excess fraction (EF), or attributable fraction, based on conventional and dynamic (or regressive or autoregressive) logistic regression modelling in a cohort study for a disease with recurrent episodes are considered. Throughout the paper, the computation of estimates with corresponding confidence intervals is illustrated in a cohort study associating the incidence of acute middle ear infection (acute otitis media) with type of day care in northern Finland. The incidences of at least one episode and at least three episodes as well as the total number of episodes during the first two years of life are considered. In our example, the estimates obtained from the dynamic model appear to have smaller standard errors since the dynamic model effectively utilizes the time-dependency of the covariates.
考虑了在一项针对具有复发发作疾病的队列研究中,基于传统和动态(或回归或自回归)逻辑回归模型估计超额分数(EF)或归因分数的调整方法。在整篇论文中,在芬兰北部一项将急性中耳感染(急性中耳炎)发病率与日托类型相关联的队列研究中,阐述了带有相应置信区间的估计值的计算。考虑了生命最初两年中至少一次发作、至少三次发作以及发作总数的发病率。在我们的示例中,从动态模型获得的估计值似乎具有较小的标准误差,因为动态模型有效地利用了协变量的时间依赖性。