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

AI Article Synopsis

  • The rebuttal by Mills et al. (2024) defends the statistical methods used in the Randomised Badger Culling Trial (RBCT), particularly the choice of count over rate for assessing bovine tuberculosis herd incidence.
  • * The authors argue that previous analyses overfit data and incorrectly apply Bayesian methods, prioritizing model fit over practical predictive power in a small dataset context.
  • * Ultimately, the RBCT's findings on the impact of badger culling on bovine tuberculosis incidence are deemed unconvincing, with modern veterinary insights suggesting the original conclusions still stand but require a nuanced understanding.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11429747PMC
http://dx.doi.org/10.1101/2024.09.18.613634DOI Listing

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