Longitudinal Studies of Binary Response Data Following Case-Control and Stratified Case-Control Sampling: Design and Analysis
Longitudinal Studies of Binary Response Data Following Case-Control and Stratified Case-Control Sampling: Design and Analysis
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DOI：
10.1111/j.1541-0420.2009.01306.x
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发表时间：
2010-06-01
期刊：
影响因子：
1.9
通讯作者：
Rathouz, Paul J.
中科院分区：
文献类型：
--
作者：
Schildcrout, Jonathan S.;Rathouz, Paul J.
我们讨论的设计和分析的纵向研究后，病例对照抽样，其中感兴趣的是在一个纵向的二进制响应，这是相关的抽样（病例对照）变量，和一组协变量之间的关系。我们提出了一个半参数建模框架的基础上的边际纵向二进制响应模型和辅助模型的受试者的病例控制状态。在这种方法中，分析人员必须将人口患病率确定为一个病例，然后用它来计算辅助模型中的偏移项。该模型的参数估计值用于计算纵向响应模型的偏移。研究人口患病率和辅助模型误设的影响，我们表明，调不变协变量参数估计，而不是截距。但截距和随时间变化的协变量参数估计值可能对此类错误指定敏感。我们研究的设计和分析问题影响研究效率，即：选择抽样变量和强度的关系的响应，样本分层，选择工作协方差加权，和程度的灵活性的辅助模型。本研究的动机是一个纵向研究的病例对照抽样的时间过程中的注意缺陷多动障碍（ADHD）症状。
We discuss design and analysis of longitudinal studies after case control sampling, wherein interest is in the relationship between a longitudinal binary response that is related to the sampling (case control) variable, and a set of covariates. We propose a semiparametric modeling framework based on a marginal longitudinal binary response model and ancillary model for subjects' case control status. In tins approach, the analyst must posit the population prevalence of being a case, which is then used to compute an offset term in the ancillary model. Parameter estimates from this model are used to compute offsets for the longitudinal response model. Examining the impact of population prevalence and ancillary model misspecification, we show that tune-invariant covariate parameter estimates, other than the intercept. ore reasonably robust, but intercept and time-varying covariate parameter estimates can be sensitive to such misspecification. We study design and analysis issues impacting study efficiency, namely: choice of sampling variable and the strength of its relationship to the response, sample stratification, choice of working covariance weighting, and degree of flexibility of the ancillary model. The research is motivated by a longitudinal study following case control sampling of the time course of attention deficit hyperactivity disorder (ADHD) symptoms.