Rita Venugopal Lekshmi, Varghese M Tom
School of Public Health, University of California, Berkeley, USA.
Department of Psychiatry, General Hospital Calicut, Kerala Government Health Service, India.
Scand J Public Health. 2020 Aug;48(6):674-675. doi: 10.1177/1403494819850895. Epub 2019 Jul 10.
Negative control exposure analysis is a very effective tool in evaluating the effect of unmeasured confounding in observational epidemiological studies. Several biases, including recall bias, time-varying confounding factors, measurement bias and so on, can affect the credibility of negative control exposure analysis for causal interpretations. The article focuses on the implications of differential measurement error across exposed group and negative controls to causal interpretations on negative control exposure analysis.
阴性对照暴露分析是评估观察性流行病学研究中未测量混杂因素影响的一种非常有效的工具。包括回忆偏倚、随时间变化的混杂因素、测量偏倚等在内的几种偏倚，会影响阴性对照暴露分析因果解释的可信度。本文重点探讨暴露组和阴性对照之间测量误差差异对阴性对照暴露分析因果解释的影响。
