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Showing 1 - 20 results of 37,759 for search '(( significant changes based ) OR ( significant linear decrease ))', query time: 0.72s Refine Results
  1. 1
    Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups.

    Average annual change, 95% confidence interval and significance for sum concentrations of different compound groups. by Matti Viluksela (321291)

    Published 2024
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  2. 2
    Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model.

    Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

    Published 2022
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  3. 3
    Estimated marginal means of the MF per muscle, based on the linear mixed-effects model.

    Estimated marginal means of the MF per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

    Published 2022
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  4. 4
    Multiple linear regression analysis results.

    Multiple linear regression analysis results. by Muxi Chen (9294270)

    Published 2025
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  5. 5
    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  6. 6
    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  7. 7
    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  8. 8
    Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.

    Linear covariate analysis of prognostically significant metabolites.... by Emir Matpan (21655811)

    Published 2025
    “…<p>Linear covariate analysis of prognostically significant metabolites. …”
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  9. 9
    Linear regression analysis of changes of E’ and LVGLS with hemodynamic data (N = 29).

    Linear regression analysis of changes of E’ and LVGLS with hemodynamic data (N = 29). by Ho-Min Yoon (18310064)

    Published 2024
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  10. 10
    Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis).

    Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

    Published 2025
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  11. 11
    Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)<sup>b'*'</sup>.

    Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  12. 12
    The summarized graph for the values of the coefficients of significant linear trends.

    The summarized graph for the values of the coefficients of significant linear trends. by Ekaterina Ivanova (230383)

    Published 2022
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  13. 13
    Cohesiveness changes across IDDSI levels and food categories.

    Cohesiveness changes across IDDSI levels and food categories. by Muxi Chen (9294270)

    Published 2025
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  14. 14
    Adhesiveness changes across different IDDSI levels and food categories.

    Adhesiveness changes across different IDDSI levels and food categories. by Muxi Chen (9294270)

    Published 2025
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  15. 15
    Top significantly changed pathways based on their calculated enrichment factor and significance value.

    Top significantly changed pathways based on their calculated enrichment factor and significance value. by Homica Arya (10954373)

    Published 2021
    “…<p>Top significantly changed pathways based on their calculated enrichment factor and significance value.…”
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  16. 16
    The linearly decreasing convergence factor a.

    The linearly decreasing convergence factor a. by Junhao Wei (6816803)

    Published 2025
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  17. 17
    Multivariable linear regression of COVID-19 prevention based HBM and its determinant factors of Gondar city Secondary school students.

    Multivariable linear regression of COVID-19 prevention based HBM and its determinant factors of Gondar city Secondary school students. by Ayenew Kassie Tesema (11457576)

    Published 2021
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  18. 18
    Brain regions with significantly decreased activations for the Raven task are shown in blue.

    Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

    Published 2025
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  19. 19
    Statistically significant linear increase in use of antidepressants during the observed time period.

    Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  20. 20
    Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep neural network (DNN).

    Performances of the three machine learning models based on ten-fold cross-validation and walk-forward validation: Multiple linear regression (MLR), random forest (RF), and a deep n... by Yingjie Hu (1579000)

    Published 2021
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