中国药物警戒 ›› 2023, Vol. 20 ›› Issue (6): 646-650.
DOI: 10.19803/j.1672-8629.20230113

• 上市后药品不良反应监测定量统计学方法研究专栏 • 上一篇    下一篇

重叠加权法在药品不良反应信号检测中的模拟研究

韦连慧1, 张朋朋2, 刘永梅2, 郭晓晶1, 许金芳1, 陈枭1, 陈晨鑫1, 叶小飞1,*   

  1. 1海军军医大学卫生统计学教研室,上海 200433;
    2联勤保障部队天津康复疗养中心,天津 300074
  • 收稿日期:2023-02-27 出版日期:2023-06-15 发布日期:2023-06-15
  • 通讯作者: * 叶小飞,男,博士,副教授,药物流行病学。E-mail: yexiaofei@smmu.edu.cn
  • 作者简介:韦连慧,女,硕士,药物流行病学。
  • 基金资助:
    国家自然科学基金资助项目(82073671)

Overlap weighting in detection of adverse drug reaction signals: a simulated study

WEI Lianhui1, ZHANG Pengpeng2, LIU Yongmei2, GUO Xiaojing1, XU Jinfang1, CHEN Xiao1, CHEN Chenxin1, YE Xiaofei1,*   

  1. 1Department of Health Statistics, Naval Medical University, Shanghai 200433, China;
    2Tianjin Rehabilitation Center of Joint Logistic Support Force, Tianjin 300074, China
  • Received:2023-02-27 Online:2023-06-15 Published:2023-06-15

摘要: 目的 通过模拟研究探索重叠加权法在药品不良反应信号检测中均衡混杂因素的效果。方法 采用点估计值、标准误、偏倚、均方差、95%置信区间覆盖率综合评价倾向性评分分层、倾向性评分匹配、逆概率加权法及重叠加权法这4种方法在4种不同组间重叠程度时效应估计的准确性和稳定性。结果 在本研究的模拟情景中,重叠加权法效应估计的结果最准确、稳定,其他3种方法的准确性和稳定性随着重叠程度的减小均逐渐变差,逆概率加权法差异最大。结论 重叠加权法可以作为在药品不良反应信号检测中均衡混杂因素的一种选择。

关键词: 药品不良反应, 信号检测, 混杂因素, 重叠加权, 倾向性评分分层, 倾向性评分匹配, 逆概率加权

Abstract: Objective To explore the effect of overlap weighting in equalizing confounding factors during detection of adverse drug reaction signals via a simulated study. Methods Point estimates, standard errors, bias, mean square errors, and 95% confidence interval coverage rate were used to evaluate the accuracy and stability of effect estimation of four methods (propensity score stratification, propensity score matching, inverse probability weighting, and overlap weighting) at four different levels of overlap between groups. Results In the simulated scenario of this study, overlap weighting yielded the most accurate and stable results of effect estimation, while the accuracy and stability of the other three methods became progressively worse as the degree of overlap decreased, and the inverse probability weighting led to the most significant difference. Conclusion Overlap weighting can be an option for equalizing confounding factors during detection of signals of adverse drug reactions.

Key words: adverse drug reaction, signal detection, confounding factors, overlap weighting, propensity score stratification, propensity score matching, inverse probability weighting

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