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Effects of expanding the look-back period to all available data in the assessment of covariates

机译:在评估协变量中将回顾周期扩展到所有可用数据的影响

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Background A fixed baseline period has been a common covariate assessment approach in pharmacoepidemiological studies from claims but may lead to high levels of covariate misclassification. Simulation studies have recommended expanding the look-back approach to all available data (AAD) for binary indicators of diagnoses, procedures, and medications, but there have been few real data analyses using this approach.
机译:背景技术固定基线期是来自索赔的药物病变研究中的共同的协变量评估方法,但可能导致高水平的再生错误分类。 仿真研究建议扩展到诊断,程序和药物的二进制指标的所有可用数据(AAD)的回顾方法,但使用这种方法几乎没有实际数据分析。

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