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Circulating biomarkers improve prediction of postoperative outcome after aortic valve surgery [PDF]
Frontiers in Cardiovascular MedicineBackgroundPredicting adverse outcomes following aortic valve surgery remains challenging. This study aimed to investigate the association between preoperative circulating biomarkers and postoperative mortality and morbidity, with the goal of improving ...
Till Joscha Demal +25 more
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Applicability evaluation of Akaike’s Bayesian information criterion to covariance modeling in the cross-section adjustment method [PDF]
EPJ Web of Conferences, 2023 The applicability of Akaike’s Bayesian Information Criterion (ABIC) to the covariance modeling in the cross-section adjustment method has been investigated.
Maruyama Shuhei +2 more
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Modeling the tropical fish community related to land uses and environmental determinants [PDF]
Global Journal of Environmental Science and Management, 2023 BACKGROUND AND OBJECTIVES: Coastal ecosystems worldwide have been threatened by changing land use and environmental determinants. These conditions have impacted important marine resources, including fish diversity. Southeast Asia, one region experiencing
N. Takarina +5 more
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Finite Sample Improvement of Akaike’s Information Criterion [PDF]
IEEE Transactions on Information Theory, 2021 We emphasize that it is possible to improve the principle of unbiased risk estimation for model selection by addressing excess risk deviations in the design of penalization procedures. Indeed, we propose a modification of Akaike's Information Criterion that avoids overfitting, even when the sample size is small.
Adrien Saumard, Fabien Navarro
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Statistical models for estimating lamb birth weight using body measurements
Italian Journal of Animal Science, 2021 The objective of this study was to estimate lamb birth weight based on body dimensions. We monitored 101 lambs (61 Charollais lambs, 27 Kent lambs, and 13 their crossbreds) at a selected commercial flock.
Anežka Málková +3 more
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Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
Entropy, 2021 Data with censoring is common in many areas of science and the associated statistical models are generally estimated with the method of maximum likelihood combined with a model selection criterion such as Akaike’s information criterion.
Enes Makalic, Daniel Francis Schmidt
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Correction to: A cross-validation-based approach for delimiting reliable home range estimates
Movement Ecology, 2017 The results presented throughout were based on an alternative Information Criterion (IC) equation that did not appear in the original article. The alternate formulation (akin to the Bayesian Information Criterion, rather than Akaike’s Information ...
Eric R. Dougherty +3 more
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Forecasting sugar sales at the Mosul factory using the Akaike standard [PDF]
مجلة التربية والعلم, 1999 : In this paper we display and compare several multivariate models for some multiple time series data. The models all come from the vector autoregressive moving average class so that comparisons between them can easily be made using criteria such as ...
Manahil Abdel Ahad
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Variable Selection in Multivariable Regression Using SAS/IML
Journal of Statistical Software, 2002 This paper introduces a SAS/IML program to select among the multivariate model candidates based on a few well-known multivariate model selection criteria. Stepwise regression and all-possible-regression are considered.
Ali A. Al-Subaihi
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Austrian Journal of Statistics, 2016 The most commonly used model selection criterion, Akaike’s Information Criterion (AIC), cannot be used when the Generalized Estimating Equations (GEE) approach is considered for analyzing multivariate binary response. Recently, a modified version of AIC (
A.H.M. Mahbub Latif +2 more
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