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significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
significantly change » significantly changed (Expand Search), significant change (Expand Search), significantly enhance (Expand Search)
change increased » change increases (Expand Search), age increased (Expand Search), care increased (Expand Search)
linear decrease » linear increase (Expand Search)
Showing 1 - 20 results of 58,610 for search '(( significantly linear decrease ) OR ( significantly change increased ))', query time: 0.95s Refine Results
  1. 1
    Increasing gaps and decreasing returns attenuate spending effects.

    Increasing gaps and decreasing returns attenuate spending effects. by William Minozzi (8564712)

    Published 2024
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  2. 2
    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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  3. 3
    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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  4. 4
    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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  5. 5
    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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  6. 6
    Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data.

    Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data. by Soheila Qanbari (20455173)

    Published 2024
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  7. 7
    The results of linear mixed model.

    The results of linear mixed model. by Soheila Qanbari (20455173)

    Published 2024
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  8. 8
    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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  9. 9
    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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  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
    Multiple linear regression analysis results.

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

    Published 2025
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  12. 12
    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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  13. 13
    Pathological changes in lung tissue of mice exposed to continuous inhalation of CS.

    Pathological changes in lung tissue of mice exposed to continuous inhalation of CS. by Yue He (385239)

    Published 2024
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  14. 14
    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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  15. 15
    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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  16. 16
    Heat map of the significance coefficients of PH components and PAB time in children, controlling for age, by gender (blue for boys, red for girls).

    Heat map of the significance coefficients of PH components and PAB time in children, controlling for age, by gender (blue for boys, red for girls). by Xin Xiong (113595)

    Published 2022
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  17. 17
    AZ10606120 treatment significantly increased cytotoxicity and reduced cell number in a dose-dependent manner.

    AZ10606120 treatment significantly increased cytotoxicity and reduced cell number in a dose-dependent manner. by Matthew Drill (22258391)

    Published 2025
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  18. 18
    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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  19. 19
    Analysis of sleep duration and FT3 using segmented linear regression.

    Analysis of sleep duration and FT3 using segmented linear regression. by Mingzheng Wang (4918222)

    Published 2023
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  20. 20
    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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