…This technique finds the best candidate algorithms with optimized information criteria. To select the best subset of predictors, we considered the Bayesian information criterion (BIC), which penalizes the predictor inclusion, and therefore…
Bayesian information criterion
Filters
…This technique finds the best candidate algorithms with optimized information criteria. To select the best subset of predictors, we considered the Bayesian information criterion (BIC), which penalizes the predictor inclusion, and therefore…
…Relationships with the scores of other instruments, as described for criterion validity Optimum cut-off The data relative to the indication of rescue analgesia was Awake castrated piglets Cut-off point was…
…Relationships with the scores of other instruments, as described for criterion validity Optimum cut-off The data relative to the indication of rescue analgesia was Awake castrated piglets Cut-off point was…
…The best combination of fixed and random effects were identified accord- ing to the lowest Bayesian information criterion (stats::BIC) using preliminary models. Best-fit preliminary model did not consider the interaction…
…The best combination of fixed and random effects were identified accord- ing to the lowest Bayesian information criterion (stats::BIC) using preliminary models. Best-fit preliminary model did not consider the interaction…
lable, pre-treatment data were included as a co-variate. Baseline data were defined as the latest measurement of a given variable before treatment was administered. The statistical model included treatment, sex (except for parameters only measured in one sex), and treatment-by-sex interactions as fixed effects, while the repeated measures ANOVA model included treatment, sex and time (and their 2-way and 3-way interac- tions) as fixed effects. Data were compared either within or across sex depending on observed interactions. Models were selected using backwards elimination where 3-way and 2-way interaction terms with the highest p-Value were sequentially dropped from the model. The process was performed hierarchically starting with the 3-way interaction terms using a threshold p-Value of 0.1, as required by regulatory guidelines. Model selection was stopped when any of the following occurred: (i) all interaction terms at the highest level had a p-Value < 0.1; (ii) no interaction terms remained in the model. The statistical model was therefore: Parameter = Baseline_variables + Treatment + Sex + Time + Treatment:Sex + Treat- ment:Time + Sex:Time + Treatment:Sex:Time + Residual_Error Least squares means were compared at a significance level of p < 0.1 in the first instance apart from treatment by sex by time point, which was compared at p < 0.05 in the first instance. For the repeated measures models, most residual error patterns were selected based on a comparison of Akaike Information Criteria (AIC) output for models containing an unstructured (UN), autoregressive (AR; 1), variance components (VC) and independent residual error pattern (with the lowest AIC preferred among the possible covariance matrices). The denominator degrees of freedom in the covariance pattern
…multilevel model, and the structure of the model was chosen according to the smallest Bayesian information criterion. Treatment, timepoint, and the interaction between treatment and timepoint were included as fixed effects. The…
eting interests The authors declare no competing interests. Additional information Supplementary Information The online version contains supplementary material available at https://doi .org/1 0.10 38/s41598- 025-91551-6. Correspondence and requests for materials should be addressed to P.H.E.T. Reprints and permissions information is available at www.nature.com/reprints. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:/ /creativec ommo ns.org /licenses/
…multilevel model, and the structure of the model was chosen according to the smallest Bayesian information criterion. Treatment, timepoint, and the interaction between treatment and timepoint were included as fixed effects. The…