A wide range of analytic and data sharing options are available in nonexperimental multidatabase studies designed to assess the real-world benefits and risks of medical products. Researchers often consider six scientific domains when choosing among these options-study design, exposure type, outcome type, covariate summarization technique, covariate adjustment method, and data sharing approach. This article reviews available analytic and data sharing options and discusses key scientific and practical considerations when choosing among these options in multidatabase studies of comparative effectiveness and safety of medical products. The scientific considerations must be balanced against what the data-contributing sites are able or willing to share. While pooling of person-level data sets remains the most familiar and analytically flexible approach, newer analytic and data sharing approaches that share less granular summary-level information may be equally valid and preferred in some multidatabase studies, especially when sharing of person-level data is challenging or infeasible.

中文翻译：

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现实世界多数据库研究中医疗产品的比较有效性和安全性的分析和数据共享选项。

非实验性多数据库研究中提供了广泛的分析和数据共享选项，旨在评估医疗产品的现实利益和风险。在这些选项中进行选择时，研究人员通常会考虑六个科学领域：研究设计，暴露类型，结果类型，协变量汇总技术，协变量调整方法和数据共享方法。本文回顾了可用的分析和数据共享选项，并讨论了在医疗产品相对有效性和安全性的多数据库研究中选择这些选项时要考虑的关键科学和实践考虑。科学考虑必须与数据提供站点能够或愿意共享的站点进行权衡。虽然合并人员级别的数据集仍然是最熟悉且分析灵活的方法，