Semiparametric analysis of case series data
Semiparametric analysis of case series data
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DOI：
10.1111/j.1467-9876.2006.00554.x
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发表时间：
2006-01-01
影响因子：
1.6
通讯作者：
Whitaker, H. J.
中科院分区：
文献类型：
--
作者：
Farrington, C. P.;Whitaker, H. J.
用于估计年龄依赖性暴露与结局事件之间相关性的病例系列模型仅需要病例信息，并隐含调整所有年龄非依赖性倍增混杂因素，同时允许年龄依赖性基线发生率。在本文中，该模型提出了更大的一般性比迄今为止，包括更一般性的讨论，其推导，基本假设，适用性，局限性和效率。该模型的半参数版本的开发，其中特定年龄的相对发病率是左未指定。建模协变量的影响和测试假设进行了讨论。通过仿真研究了该模型的小样本性能。从流行病学的几个例子来说明的方法。
The case series model for estimating the association between an age-dependent exposure and an outcome event requires information only on cases and implicitly adjusts for all age-independent multiplicative confounders, while allowing for an age-dependent base-line incidence. In the paper the model is presented in greater generality than hitherto, including more general discussion of its derivation, underlying assumptions, applicability, limitations and efficiency. A semiparametric version of the model is developed, in which the age-specific relative incidence is left unspecified. Modelling covariate effects and testing assumptions are discussed. The small sample performance of this model is studied in simulations. The methods are illustrated with several examples from epidemiology.