Bias attenuation results for nondifferentially mismeasured ordinal and coarsened confounders

• 成果类型: Article
• 署名作者: Ogburn, Elizabeth L.; Vanderweele, Tyler J.
• 署名单位: Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard T.H. Chan School of Public Health
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/ass054
• 发表日期: 2013
• 页码: 241248
• 关键词: sensitivity-analysis; measurement error; misclassification

摘要

Suppose we are interested in the effect of a binary treatment on an outcome where that relationship is confounded by an ordinal confounder. We assume that the true confounder is not observed but, rather, we observe a nondifferentially mismeasured version of it. We show that, under certain monotonicity assumptions about its effect on the treatment and on the outcome, an effect measure controlling for the mismeasured confounder will fall between the corresponding crude and true effect measures. We also present results for coarsened and, under further assumptions, multiple misclassified confounders.