Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.

IF 1.4 4区数学 Q3 BIOLOGY

Biometrics Pub Date : 2024-03-27 DOI:10.1093/biomtc/ujae043

Moreno Ursino, Sarah Zohar

引用次数: 0

Abstract

We congratulate the authors for the new meta-analysis model that accounts for different outcomes. We discuss the modeling choice and the Bayesian setting, specifically, we point out the connection between the Bayesian hierarchical model and a mixed-effect model formulation to subsequently discuss possible future method extensions.

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Thanthirige Lakshika M. Ruberu、Danielle Braun、Giovanni Parmigiani 和 Swati Biswas 关于 "癌症风险渗透的贝叶斯元分析 "的讨论。

我们祝贺作者提出了考虑不同结果的新元分析模型。我们讨论了建模选择和贝叶斯设置，特别指出了贝叶斯层次模型和混合效应模型表述之间的联系，并随后讨论了未来可能的方法扩展。

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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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.