对Hemilä和Chalker的《为方法学工作选择数据示例的陷阱:普通感冒锌锭固定效应荟萃分析的贝叶斯方法》的回应

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Research Synthesis Methods Pub Date : 2022-10-09 DOI:10.1002/jrsm.1600
Clara P. Domínguez Islas, Kenneth M. Rice
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The objective of our manuscript is to propose and evaluate a Bayesian approach to fixed effects meta-analysis and to compare the performance of such approach to other more traditional ones. The point made in Figures 3–5 is that, compared with existing defaults, the proposed method can provide considerable stability and robustness to choices of prior. This same point could have been made using a different example, or even fictional or simulated data. And indeed, the manuscript includes a second example in the Appendix section, from which similar conclusions about the approach can be drawn. Our manuscript is about statistical methods for meta-analysis, not a systematic review on zinc lozenges, and we stand by our method's validity. Second, Hemilä and Chalker object to our use of mean differences. We chose this scale deliberately, to simplify the exposition and enable readers to focus on novel aspects of our method. We are not convinced by their “strong” arguments for blanket use of one scale over another: interpreted with care, either absolute or relative differences can be usefully analyzed. Finally, Hemilä and Chalker complain that we insufficiently increase the understanding of zinc lozenges' effect on the common cold. This complaint simply misses the point of the manuscript which, as the title and abstract make clear, is to discuss novel statistical methods. 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Response to Hemilä and Chalker's “Pitfalls in choosing data examples for methodological work: Bayesian approaches to a fixed effects meta-analysis of zinc lozenges for the common cold”
We thank Drs Harri Hemilä and Elizabeth Chalker for their post-publication review of our work. Using a metaanalysis from a now-withdrawn systematic review on zinc for the common cold was indeed an unfortunate oversight. In addition, we should have better corroborated the data from each of the studies in the meta-analysis, to avoid further propagation of numerical errors. We completely agree that this meta-analysis should not have been cited nor used as an applied example, and we apologize to researchers who were confused by our mistake. We take issue, however, with other points raised by Hemilä and Chalker. First, we disagree that the “validity” of Figures 3–5 is in question. The objective of our manuscript is to propose and evaluate a Bayesian approach to fixed effects meta-analysis and to compare the performance of such approach to other more traditional ones. The point made in Figures 3–5 is that, compared with existing defaults, the proposed method can provide considerable stability and robustness to choices of prior. This same point could have been made using a different example, or even fictional or simulated data. And indeed, the manuscript includes a second example in the Appendix section, from which similar conclusions about the approach can be drawn. Our manuscript is about statistical methods for meta-analysis, not a systematic review on zinc lozenges, and we stand by our method's validity. Second, Hemilä and Chalker object to our use of mean differences. We chose this scale deliberately, to simplify the exposition and enable readers to focus on novel aspects of our method. We are not convinced by their “strong” arguments for blanket use of one scale over another: interpreted with care, either absolute or relative differences can be usefully analyzed. Finally, Hemilä and Chalker complain that we insufficiently increase the understanding of zinc lozenges' effect on the common cold. This complaint simply misses the point of the manuscript which, as the title and abstract make clear, is to discuss novel statistical methods. Were our focus the understanding of zinc lozenges, we would have published a different paper in a different journal.
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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
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