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首页> 外文期刊>Annals of epidemiology >Adjusting for multiple-misclassified variables in a study using birth certificates
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Adjusting for multiple-misclassified variables in a study using birth certificates

机译：使用出生证明对研究中的多个错误分类的变量进行调整

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Purpose: Birth certificates are a convenient source of population data for epidemiologic studies. It is well documented, however, that birth certificate data can be highly inaccurate. Nonetheless, studies based on birth certificates are routinely analyzed without accounting for sources of data errors. We focused on the association between maternal cigarette smoking and cleft lip and palate based on birth certificate data. Methods: We adjusted odds ratio estimates simultaneously for exposure and outcome misclassification. We also calculated odds ratios adjusted for exposure misclassification only and outcome misclassification only. Results: Adjustment for both maternal smoking during pregnancy and clefting resulted in adjusted odds ratios that ranged from less than 1.0 to much greater than the unadjusted estimate of 1.16, with most adjusted estimates outside of the 95% confidence limits (1.01, 1.33). Conclusions: Because of the potentially large impact of birth certificate classification errors, we suggest that inferences from these or similar records employ quantitative methods for incorporating uncertainties caused by data errors.
机译：目的：出生证明是流行病学研究的方便的人口数据来源。但是，有据可查的是，出生证明数据可能非常不准确。尽管如此，在不考虑数据错误来源的情况下，常规分析了基于出生证的研究。基于出生证明数据，我们重点研究了孕妇吸烟与唇裂和and裂之间的关联。方法：我们同时调整了暴露和结果错误分类的优势比估计。我们还计算了仅针对暴露错误分类和仅结果错误分类调整的优势比。结果：对孕妇在怀孕和抽烟期间的吸烟进行调整后，调整后的优势比范围从小于1.0到远远大于未经调整的估算值1.16，其中大多数调整后的估算值超出了95％的置信度限制（1.01、1.33）。结论：由于出生证分类错误可能会产生巨大影响，因此我们建议从这些记录或类似记录中得出的推论采用定量方法来合并数据错误造成的不确定性。

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