关于 Ethan M. Alt、Xiuya Chang、Xun Jiang、Qing Liu、May Mo、H. Amy Xia 和 Joseph G. Ibrahim 所著《LEAP：从历史数据中借用信息的潜在可交换性先验》的讨论。

IF 1.4 4区数学 Q3 BIOLOGY

Biometrics Pub Date : 2024-07-01 DOI:10.1093/biomtc/ujae084

Harlan Campbell, Paul Gustafson

引用次数: 0

摘要

我们对 Alt 等人使用混合对照臂进行分析的创新方法表示赞赏，同时对两个关键考虑因素提出了见解：外推的必要性和分析前整理历史对照数据的潜在益处。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Discussion on "LEAP: the latent exchangeability prior for borrowing information from historical data" by Ethan M. Alt, Xiuya Chang, Xun Jiang, Qing Liu, May Mo, H. Amy Xia, and Joseph G. Ibrahim.

We commend Alt et al.'s innovative approach for analysis with a hybrid control arm while offering insights into two key considerations: the necessity for extrapolation and the potential benefits of curating historical control data before analysis.

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来源期刊

Biometrics 生物-生物学

CiteScore

2.70

自引率

5.30%

发文量

178

审稿时长

4-8 weeks

期刊介绍： The International Biometric Society is an international society promoting the development and application of statistical and mathematical theory and methods in the biosciences, including agriculture, biomedical science and public health, ecology, environmental sciences, forestry, and allied disciplines. The Society welcomes as members statisticians, mathematicians, biological scientists, and others devoted to interdisciplinary efforts in advancing the collection and interpretation of information in the biosciences. The Society sponsors the biennial International Biometric Conference, held in sites throughout the world; through its National Groups and Regions, it also Society sponsors regional and local meetings.