Partial questionnaire designs, questionnaire non-response, and attributable fraction: applications to adult onset asthma.
Partial questionnaire designs, questionnaire non-response, and attributable fraction: applications to adult onset asthma.
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部分问卷设计、问卷无应答和归因分数：在成人哮喘中的应用。
DOI：
10.1002/sim.2265
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Milton,DonaldK
中科院分区：
文献类型：
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作者：
AndresHouseman,E;Milton,DonaldK
归因分数（AF）通常用于探索疾病与暴露之间关联的政策含义。迄今为止，在部分问卷设计（PQD）的背景下，尚未提出AF的估计值。由Wacholder在公共卫生背景下首次提出的PQD通常用于提高问卷的响应率。它涉及就预先分配的问题子集征求每个受试者的答复，从而减轻答复负担。我们提出了一种计算效率高的方法，用于从PQD模型中估计logistic（或更一般地说，二元）回归参数，其中对问卷无应答，并且子人群之间的无应答率不同。假设缺失协变量的分布为对数线性模型，我们采用Wacholder的方法来激励一致的估计方程，并通过回答问卷的逆概率来加权每个受试者对估计函数的贡献。我们还提出了拟合优度技术，以帮助模型选择。然后，我们使用PQD回归估计来获得与Bruzzi提出的类似的AF估计。最后，我们证明了我们的方法使用的数据从成人职业性哮喘的研究，在马萨诸塞州HMO进行。虽然我们专注于特定类型的缺失数据机制，但其他缺失数据技术可以以类似的方式并入AF估计中。版权所有© 2005年约翰威利父子有限公司。
The attributable fraction (AF) is often used to explore the policy implications of an association between a disease and an exposure. To date, there have been no proposed estimators of AF in the context of partial questionnaire designs (PQD). The PQD, first proposed in a public health context by Wacholder is often used to enhance response rates in questionnaires. It involves eliciting responses from each subject on preassigned subsets of questions, thereby reducing the burden of response. We propose a computationally efficient method of estimating logistic (or more generally, binary) regression parameters from a PQD model where there is non‐response to the questionnaire and the rates of non‐response differ between sub‐populations. Assuming a log‐linear model for the distribution of missing covariates, we employ the methods of Wacholder to motivate consistent estimating equations, and weight each subject's contribution to the estimating function by the inverse probability of responding to the questionnaire. We also propose techniques for goodness‐of‐fit to assist in model selection. We then use the PQD regression estimates to derive an estimate of AF similar to that proposed by Bruzzi. Finally, we demonstrate our methods using data obtained from a study on adult occupational asthma, conducted within a Massachusetts HMO. Although we concentrate on a particular type of missing data mechanism, other missing data techniques can be incorporated into AF estimation in a similar manner. Copyright © 2005 John Wiley & Sons, Ltd.