关于 Thanthirige Lakshika M. Ruberu、Danielle Braun、Giovanni Parmigiani 和 Swati Biswas 的“癌症风险外显率的贝叶斯荟萃分析”的讨论。

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

机构信息

Inserm, Université Paris Cité, Sorbonne Université, Centre de Recherche des Cordeliers, F-75006, Paris, France.

HeKA, Inria Paris, F-75012 Paris, France.

出版信息

Biometrics. 2024 Mar 27;80(2). doi: 10.1093/biomtc/ujae043.

DOI:10.1093/biomtc/ujae043

PMID:38819315

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.

摘要

我们祝贺作者提出了新的元分析模型，该模型考虑了不同的结局。我们讨论了模型选择和贝叶斯设置，具体来说，我们指出了贝叶斯层次模型与混合效应模型公式之间的联系，以便随后讨论可能的未来方法扩展。