非差异测量误差的有序和粗化混杂因素的偏倚衰减结果。
Bias attenuation results for nondifferentially mismeasured ordinal and coarsened confounders.
作者信息
Ogburn Elizabeth L, Vanderweele Tyler J
机构信息
Departments of Biostatistics and Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115.
出版信息
Biometrika. 2013;100(1):241-248. doi: 10.1093/biomet/ass054.
Abstract
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, 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 its corresponding crude and the true effect measures. We present results for coarsened, and, under further assumptions, for multiple misclassified confounders.
摘要
假设我们感兴趣的是二元处理对一个结果的影响，而这种关系被一个有序混杂因素所混淆。我们假设真实的混杂因素未被观察到，而是观察到了它的一个非差异误测版本。我们表明，在关于其对处理和结果的影响的某些单调性假设下，控制误测混杂因素的效应量将介于其相应的粗效应量和真实效应量之间。我们给出了粗化情况下的结果，并在进一步假设下给出了多个误分类混杂因素的结果。
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本文引用的文献
1
On the nondifferential misclassification of a binary confounder.关于二元混杂因素的非差异错误分类。
Epidemiology. 2012 May;23(3):433-9. doi: 10.1097/EDE.0b013e31824d1f63.
2
Interval estimation by simulation as an alternative to and extension of confidence intervals.通过模拟进行区间估计，作为置信区间的替代方法和扩展。
Int J Epidemiol. 2004 Dec;33(6):1389-97. doi: 10.1093/ije/dyh276. Epub 2004 Aug 19.
3
Semi-automated sensitivity analysis to assess systematic errors in observational data.用于评估观测数据中系统误差的半自动敏感性分析。
Epidemiology. 2003 Jul;14(4):451-8. doi: 10.1097/01.EDE.0000071419.41011.cf.
4
Basic methods for sensitivity analysis of biases.偏差敏感性分析的基本方法。
Int J Epidemiol. 1996 Dec;25(6):1107-16.
5
Bias due to non-differential misclassification of polytomous confounders.多分类混杂因素的非差异性错误分类导致的偏倚。
J Clin Epidemiol. 1993 Jan;46(1):57-63. doi: 10.1016/0895-4356(93)90009-p.
6
The effect of misclassification in the presence of covariates.存在协变量时错误分类的影响。
Am J Epidemiol. 1980 Oct;112(4):564-9. doi: 10.1093/oxfordjournals.aje.a113025.
7
An overview of issues related to the correction of non-differential exposure measurement error in epidemiologic studies.流行病学研究中与非差异暴露测量误差校正相关问题概述。
Stat Med. 1989 Sep;8(9):1031-40; discussion 1071-3. doi: 10.1002/sim.4780080903.
8
Aspects of misclassification of confounding factors.混杂因素的错误分类方面。
Am J Ind Med. 1992;21(1):107-12. doi: 10.1002/ajim.4700210113.
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