Search alternatives:
significant deviation » significant variation (Expand Search), significant elevation (Expand Search), significant variations (Expand Search)
deviation regression » mediation regression (Expand Search), moderation regression (Expand Search), design regression (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant deviation » significant variation (Expand Search), significant elevation (Expand Search), significant variations (Expand Search)
deviation regression » mediation regression (Expand Search), moderation regression (Expand Search), design regression (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Temporal profiles of the key BO-NN features.
Published 2020“…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”
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Multivariable logistic regression analysis for unplanned excision.
Published 2024Subjects: “…multivariable logistic regression…”
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Depletion of TbSWR1 caused a decrease of reporter luciferase activity within a PTU.
Published 2022Subjects: -
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ROE Regression Results.
Published 2025“…When we augment the model with the Euclidean norm of each firm’s financial-indicator vector over the preceding five years, the norm is significantly negatively associated with next-year ROE, and the multivariate linear regression yields an adjusted <i>R</i><sup>2</sup> of 0.430. …”
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ROA Regression Results.
Published 2025“…When we augment the model with the Euclidean norm of each firm’s financial-indicator vector over the preceding five years, the norm is significantly negatively associated with next-year ROE, and the multivariate linear regression yields an adjusted <i>R</i><sup>2</sup> of 0.430. …”
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Univariate and multivariate logistic regression analysis of candidate predictors variable.
Published 2025Subjects: -
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Logistic regression models using the Kendall -<i>τ</i> coefficients as predictors.
Published 2025Subjects: -
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