Akaike Information Criteria results from logistic regression models of yellow perch barotrauma incidence.
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2018-01-01
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Appendix A. Calculations of AICc weights (wi), indicating support for different models in various candidate sets.
Calculations of AICc weights (wi), indicating support for different models in various candidate sets.
Mendeley Data2024-06-29 更新130
Text S1 - Statistical Power of Model Selection Strategies for Genome-Wide Association Studies
Supplementary Note for proofs and arguments, distributions of test statistics, extended comparisons of power for model selection methods, and formulas for distribution parameters of test statistics.
NIAID Data Ecosystem80
Akaike information criterion (AIC) and Bayesian Information criterion (BIC) for the models 1, 2 and 3 in Eq 2 when applied to the ensemble of the SDRR computed on different part of the exercise test: Before test (pre), during test (effort) or during recovery (post).
Akaike information criterion (AIC) and Bayesian Information criterion (BIC) for the models 1, 2 and 3 in Eq 2 when applied to the ensemble of the SDRR computed on different part of the exercise test:
NIAID Data Ecosystem60
R code for reproducing the results in the paper
This code reproduces the results in the paper "The relative performance of AIC, AICC and BIC in the presence of unobserved heterogeneity", to appear soon in the journal Methods in Ecology and Evolutio
DataCite Commons2022-02-02 更新90
Comparison of AIC and BIC of different methods on four datasets.
Comparison of AIC and BIC of different methods on four datasets.
Figshare2025-07-10 更新60
