Work

Rejoinder to the discussion on “Bayesian meta-analysis of penetrance for cancer risk”

Year: 2024

Type: review

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.

Source: Biometrics

DOI: 10.1093/biomtc/ujae040

Authors: Thanthirige Lakshika M Ruberu, Danielle Braun, Giovanni Parmigiani, Swati Biswas

Institutions: The University of Texas at Dallas, Harvard University, Dana-Farber Cancer Institute

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: National Cancer Institute