系统回顾
荟萃分析
同行评审
梅德林
医学
统计
心理学
数学
病理
生物
生物化学
作者
Xiaoting Shi,Ziang Liu,Mingfeng Zhang,Wei Hua,Jie Li,Joo-Yeon Lee,Sai Hurrish Dharmarajan,Kate Nyhan,Ashley Isaac Naimi,Timothy Lee Lash,Molly M. Jeffery,Joseph S. Ross,Zeyan Liew,Joshua David Wallach
标识
DOI:10.1016/j.jclinepi.2024.111507
摘要
Quantitative bias analysis (QBA) methods evaluate the impact of biases arising from systematic errors on observational study results. This systematic review aimed to summarize the range and characteristics of QBA methods for summary-level data published in the peer-reviewed literature.
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