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Validation of non-participation bias methodology based on record-linked Finnish register-based health survey data: a protocol paper

机译:基于记录链接的基于芬兰登记册的健康调查数据验证非参与偏见方法:协议文件

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摘要

IntroductionDecreasing participation levels in health surveys pose a threat to the validity of estimates intended to be representative of their target population. If participants and non-participants differ systematically, the results may be biased. The application of traditional non-response adjustment methods, such as weighting, can fail to correct for such biases, as estimates are typically based on the sociodemographic information available. Therefore, a dedicated methodology to infer on non-participants offers advancement by employing survey data linked to administrative health records, with reference to data on the general population. We aim to validate such a methodology in a register-based setting, where individual-level data on participants and non-participants are available, taking alcohol consumption estimation as the exemplar focus.
机译:引言健康调查中参与程度的降低对旨在代表其目标人群的估算值的有效性构成了威胁。如果参与者和非参与者系统地存在差异,则结果可能会有偏差。传统的无响应调整方法(例如加权)的应用可能无法纠正此类偏差,因为估算通常基于可用的社会人口统计学信息。因此,通过采用与行政健康记录相关联的调查数据并参考一般人群的数据,一种专门的方法可以推断非参与者。我们的目标是在基于注册的环境中验证这种方法,在该环境中可以获取参与者和非参与者的个人级别数据,并将酒精摄入量估算作为示例重点。

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