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利用活性对照进行序列对称性分析时获得有效兼容性区间:一项模拟研究

Obtaining Valid Compatibility Intervals for Sequence Symmetry Analyses Utilizing Active Comparators: A Simulation Study.

作者信息

Rahbek Martin Torp, Hallas Jesper, Lund Lars Christian

机构信息

Clinical Pharmacology, Pharmacy and Environmental Medicine, University of Southern Denmark, Odense, Denmark.

出版信息

Pharmacoepidemiol Drug Saf. 2025 Jun;34(6):e70160. doi: 10.1002/pds.70160.

DOI:10.1002/pds.70160
PMID:40393773
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12092166/
Abstract

PURPOSE

To compare different methods of estimating 95% compatibility intervals (CIs) for the sequence ratio (SR) when performing a sequence symmetry analysis using an active comparator to reduce the risk of time-varying confounding.

METHODS

We conducted a simulation study, where we simulated drug-outcome and outcome-drug sequences for a drug of interest and a comparator drug using the binomial distribution and obtained active comparator SRs and 95% CIs. We simulated scenarios with sample sizes between 5 and 50 observed sequences for each SR, which could take values of 0.5, 1.0, or 2.0, yielding 276 scenarios that were replicated 5000 times. For each replication, we calculated 95% CIs using current recommendations based on exact CIs, the Woolf logit, Baptista-Pike mid-p, and Miettinen-Nurminen score estimator and calculated coverage for each scenario.

RESULTS

All interval estimators provided acceptable coverage when sample sizes exceeded 15, except for the current recommendation, the exact Clopper-Pearson interval. The Miettinen-Nurminen score (coverage 0.951) and Baptista-Pike mid-p interval (coverage 0.955) offered more accurate coverage than other methods. The largest divergence from 0.95 was observed for the current recommendations (coverage 0.979).

CONCLUSIONS

The Miettinen-Nurminen score estimator provided the most accurate coverage for 95% CIs of active comparator SRs, especially with low sample sizes. Therefore, we recommend using the Miettinen-Nurminen score estimator for active comparator SRs.

摘要

目的

在使用活性对照进行序列对称性分析以降低时变混杂风险时,比较估计序列比(SR)的95%兼容性区间(CI)的不同方法。

方法

我们进行了一项模拟研究,使用二项分布模拟感兴趣药物和对照药物的药物-结局及结局-药物序列,获得活性对照SR和95%CI。我们模拟了每种SR观察序列样本量在5至50之间的情况,SR取值为0.5、1.0或2.0,产生276种情况,每种情况重复5000次。对于每次重复,我们根据基于精确CI、伍尔夫对数几率、巴普蒂斯塔-派克中p值和米耶蒂宁-努尔米宁得分估计器的当前建议计算95%CI,并计算每种情况下的覆盖率。

结果

当样本量超过15时,除当前建议(精确的克洛珀-皮尔逊区间)外,所有区间估计器提供的覆盖率均可接受。米耶蒂宁-努尔米宁得分(覆盖率0.951)和巴普蒂斯塔-派克中p值区间(覆盖率0.955)提供的覆盖率比其他方法更准确。当前建议(覆盖率0.979)与0.95的偏差最大。

结论

米耶蒂宁-努尔米宁得分估计器为活性对照SR的95%CI提供了最准确的覆盖率,尤其是在样本量较小时。因此,我们建议对活性对照SR使用米耶蒂宁-努尔米宁得分估计器。

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