Suppr超能文献

随机獾捕杀试验缺乏主动捕杀獾对牛结核病防治效果的证据:对米尔斯等人2024年第一部分和第二部分的评论

Randomised Badger Culling Trial lacks evidence for proactive badger culling effect on tuberculosis in cattle: comment on Mills et al. 2024, Parts I & II.

作者信息

Torgerson P R, Hartnack S, Rasmussen P, Lewis F, O'Donnell P, Langton Tes

机构信息

Section of Veterinary Epidemiology, University of Zürich, Switzerland.

University of Copenhagen, Denmark.

出版信息

bioRxiv. 2024 Sep 20:2024.09.18.613634. doi: 10.1101/2024.09.18.613634.

Abstract

Re-evaluation of statistical analysis of the Randomised Badger Culling Trial (RBCT) by Torgerson et al. 2024 was rebutted by Mills et al. 2024 Parts I and II. The rebuttal defended the use of count rather than rate when considering bovine tuberculosis herd incidence. The defence makes biologically implausible use of Information Criterion for appraisal diagnostics; overfits data; and has erroneous Bayesian analyses. It favours 'goodness of fit' over 'predictive power', for a small data set, when the study was to inform application. Importantly, for 'total' bTB breakdown: ('confirmed' (OTF-W) +'unconfirmed' (OTF-S)), where modern interpretation of the main diagnostic bTB test better indicates the incidence rate of herd breakdown, there is no effect in cull and neighbouring areas, across all statistical models. The RBCT was a small, single experiment with unknown factors. With respect to the paradigm of reproducibility and the FAIR principles, the original RBCT analysis and recent efforts to support it are wholly unconvincing. The 2006 conclusion of the RBCT that "" is supported, but the route to such a position is revised in the light of modern veterinary understanding and statistical reappraisal.

摘要

托格森等人于2024年对随机獾捕杀试验(RBCT)的统计分析进行的重新评估遭到了米尔斯等人2024年第一部分和第二部分的反驳。该反驳为在考虑牛结核病畜群发病率时使用计数而非比率进行了辩护。这种辩护在评估诊断时对信息准则进行了生物学上不合理的运用;过度拟合了数据;并且存在错误的贝叶斯分析。对于一个小数据集,当该研究旨在为应用提供信息时,它更倾向于“拟合优度”而非“预测能力”。重要的是,对于“总体”牛结核病疫情爆发:(“确诊”(OTF-W)+“未确诊”(OTF-S)),在所有统计模型中,现代对主要牛结核病诊断测试的解释更好地表明了畜群疫情爆发的发病率,在捕杀区和邻近地区没有影响。RBCT是一个小型的单一实验,存在未知因素。就可重复性范式和FAIR原则而言,RBCT的原始分析以及最近支持它的努力完全无法令人信服。RBCT在2006年得出的结论“……”是有依据的,但鉴于现代兽医的理解和统计重新评估,得出这一结论的途径有所修正。

相似文献

2
Absence of effects of widespread badger culling on tuberculosis in cattle.
Sci Rep. 2024 Jul 15;14(1):16326. doi: 10.1038/s41598-024-67160-0.
3
Local cattle and badger populations affect the risk of confirmed tuberculosis in British cattle herds.
PLoS One. 2011 Mar 28;6(3):e18058. doi: 10.1371/journal.pone.0018058.
4
An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial II: In neighbouring areas.
R Soc Open Sci. 2024 Aug 21;11(8):240386. doi: 10.1098/rsos.240386. eCollection 2024 Aug.
5
An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial (RBCT) I: Within proactive culling areas.
R Soc Open Sci. 2024 Aug 21;11(8):240385. doi: 10.1098/rsos.240385. eCollection 2024 Aug.

本文引用的文献

1
An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial II: In neighbouring areas.
R Soc Open Sci. 2024 Aug 21;11(8):240386. doi: 10.1098/rsos.240386. eCollection 2024 Aug.
2
An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial (RBCT) I: Within proactive culling areas.
R Soc Open Sci. 2024 Aug 21;11(8):240385. doi: 10.1098/rsos.240385. eCollection 2024 Aug.
3
Absence of effects of widespread badger culling on tuberculosis in cattle.
Sci Rep. 2024 Jul 15;14(1):16326. doi: 10.1038/s41598-024-67160-0.
5
Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic.
Science. 2021 Jan 15;371(6526):288-292. doi: 10.1126/science.abe9728. Epub 2020 Dec 8.
7
The FAIR Guiding Principles for scientific data management and stewardship.
Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
8
Bovine tuberculosis: Badger-cull targets unlikely to reduce TB.
Nature. 2015 Oct 29;526(7575):640. doi: 10.1038/526640c.
10
Commentary.
Biostatistics. 2010 Jul;11(3):381-2. doi: 10.1093/biostatistics/kxq026.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验