文章摘要
黄丽红,赵杨,魏永越,陈峰.如何控制观察性疗效比较研究中的混杂因素:(三)混杂因素控制的敏感性分析方法[J].中华流行病学杂志,2019,40(12):1645-1649
如何控制观察性疗效比较研究中的混杂因素:(三)混杂因素控制的敏感性分析方法
How to adjust confounders in studies on observational comparative effectiveness: (3) approaches on sensitivity analysis for confounder adjustment
收稿日期:2019-03-18  出版日期:2019-12-20
DOI:10.3760/cma.j.issn.0254-6450.2019.12.026
中文关键词: 观察性疗效比较研究  混杂  控制  敏感性分析方法
英文关键词: Observational comparative effectiveness research  Confounder  Adjustment  Sensitivity analysis
基金项目:国家自然科学青年基金(81903407)
作者单位E-mail
黄丽红 复旦大学附属中山医院生物统计室, 上海 200032 huang.lihong@zs-hospital.sh.cn 
赵杨 南京医科大学公共卫生学院生物统计学系 211166  
魏永越 南京医科大学公共卫生学院生物统计学系 211166  
陈峰 南京医科大学公共卫生学院生物统计学系 211166  
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中文摘要:
      观察性疗效比较研究中混杂在所难免,在利用一些统计分析方法对已测量或未测量混杂因素加以控制后,是否消除了混杂的影响不得而知,此时需进行敏感性分析。本文介绍混杂因素处理中的敏感性分析方法。基于不同的研究,敏感性分析思路各不相同,对于已测量混杂因素可采用传统的敏感性分析方法,对于未测量混杂因素目前理论相对系统的方法主要有混杂函数法、边界因子法和倾向性评分校正法,另外Monte Carlo敏感性分析和Bayes敏感性分析也是近年来备受热议的方法。当敏感性分析结果与主要分析结果一致时,无疑提高了研究结论的可靠性。
英文摘要:
      Confounders are difficult to avoid in studies on observational comparative effectiveness. It is often unclear whether the confounders have been completely eliminated after controlling the measured or unmeasured potential confounding effects or if sensitivity analysis is needed when using the specific statistical methods, under given circumstances. This manuscript summarizes and evaluates the confounding sensitivity analysis methods. Based on different studies, sensitivity analyses need to use different approaches. The traditional sensitivity analysis can be applied for the measured confounders. Currently, the relatively systematic sensitivity analyses for unmeasured confounders would include confounding function, bounding factor and propensity score calibration. Additionally, more investigations are associated with Monte Carlo and Bayesian sensitivity analysis. Reliability of the research conclusion thus may largely be improved when the sensitivity analysis results are consistent with the main analysis.
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