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significantly vary » significantly larger (Expand Search), significantly worse (Expand Search), significantly less (Expand Search)
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Showing 1 - 20 results of 25,856 for search '(( significantly vary increased ) OR ( significant ((mean decrease) OR (linear decrease)) ))', query time: 1.31s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    Multiple linear regression analysis results.

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

    Published 2025
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  5. 5
    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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  6. 6
    S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital

    S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Va... by Sonsawan Sangprasert (22772538)

    Published 2025
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  7. 7
    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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  8. 8
    Features that varied significantly with temperature.

    Features that varied significantly with temperature. by Patrick Barko (10152481)

    Published 2024
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  9. 9
    Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell coloration.

    Parameter estimates of linear mixed effects models for juvenile <i>M</i>. <i>mercenaria</i>, juvenile <i>M</i>. <i>arenaria</i> and juvenile <i>A</i>. <i>islandica</i> mean shell c... by Teagan McMahon (20108036)

    Published 2024
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  10. 10
    Features that varied significantly with storage time.

    Features that varied significantly with storage time. by Patrick Barko (10152481)

    Published 2024
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  11. 11
    Brain and liver GCase activity are significantly decreased in heterozygous <i>GBA1</i> D409V KI mice, with varying differences in glucosphingolipid lipids in brain and liver.

    Brain and liver GCase activity are significantly decreased in heterozygous <i>GBA1</i> D409V KI mice, with varying differences in glucosphingolipid lipids in brain and liver. by Nicole K. Polinski (10947787)

    Published 2021
    “…(A-B) GCase levels as assessed by the CBE/4-MU method are significantly decreased in the het <i>GBA1</i> D409V KI mice at 5 months of age in both brain (A) and liver (B). …”
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  12. 12
    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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  13. 13
    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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  14. 14
    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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  15. 15
    Hardness increase across different IDDSI levels and food categories.

    Hardness increase across different IDDSI levels and food categories. by Muxi Chen (9294270)

    Published 2025
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  16. 16
    Significant interactions from mixed linear models of ECM colonization (Table 1).

    Significant interactions from mixed linear models of ECM colonization (Table 1). by Laura García de Jalón (8939456)

    Published 2020
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  17. 17
    Baseline patient characteristics.

    Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

    Published 2025
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  18. 18
    Effects of s-ketamine and midazolam on respiratory parameters.

    Effects of s-ketamine and midazolam on respiratory parameters. by Oscar F. C. van den Bosch (22184246)

    Published 2025
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  19. 19
    Flow chart of the study participants.

    Flow chart of the study participants. by Oscar F. C. van den Bosch (22184246)

    Published 2025
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  20. 20
    Significantly variable serum polyunsaturated fatty acid metabolites.

    Significantly variable serum polyunsaturated fatty acid metabolites. by Patrick C. Barko (10668358)

    Published 2024
    “…Linear mixed-effects models were used to identify serum metabolites that varied significantly among the storage conditions. …”
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