对“癌症风险外显率的贝叶斯荟萃分析”讨论的回应。
Rejoinder to the discussion on "Bayesian meta-analysis of penetrance for cancer risk".
机构信息
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080, USA.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
出版信息
Biometrics. 2024 Mar 27;80(2). doi: 10.1093/biomtc/ujae040.
PMID:38819314
Abstract
The five discussions of our paper provide several modeling alternatives, extensions, and generalizations that can potentially guide future research in meta-analysis. In this rejoinder, we briefly summarize and comment on some of those points.
摘要
本文的五个讨论提供了几种可能有助于未来元分析研究的建模选择、扩展和推广。在本回应中，我们简要总结和评论了其中的一些要点。
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