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Showing 1 - 20 results of 6,593 for search '(( significantly high decrease ) OR ( significant predictors decrease ))', query time: 0.39s Refine Results
  1. 1
    Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort.

    Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

    Published 2025
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  2. 2
    Depression, anxiety, and stress as predictors of implemental delay and school burnout.

    Depression, anxiety, and stress as predictors of implemental delay and school burnout. by Katarzyna Markiewicz (20489903)

    Published 2024
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  3. 3
    Transepithelial resistance of NHBE decreases significantly after PAA exposure.

    Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

    Published 2025
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  4. 4
    Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells.

    Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

    Published 2024
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  5. 5
    Multivariate regression analysis to explain the decrease in visibility and palpability.

    Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

    Published 2025
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  6. 6
    Significantly decreased necrosis observed on wheat leaves inoculated with <i>ΔZtknr4</i>.

    Significantly decreased necrosis observed on wheat leaves inoculated with <i>ΔZtknr4</i>. by Erika Kroll (20537020)

    Published 2025
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  7. 7
    Logistic regression for influenza results predictors.

    Logistic regression for influenza results predictors. by Reem Eid (20889732)

    Published 2025
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  8. 8
    Logistic regression for RSV results predictors.

    Logistic regression for RSV results predictors. by Reem Eid (20889732)

    Published 2025
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  9. 9
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  10. 10
    Predictors of SCD.

    Predictors of SCD. by Iftikhar Ali Ch (20783753)

    Published 2025
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  11. 11
    Association between CAP value and carotid-femoral pulse wave velocity.

    Association between CAP value and carotid-femoral pulse wave velocity. by Johannes Nairz (18010746)

    Published 2024
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  12. 12
    Characteristics of the study population.

    Characteristics of the study population. by Johannes Nairz (18010746)

    Published 2024
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  13. 13
    Boxplot mean cfPWV comparisons.

    Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

    Published 2024
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  14. 14
    Study flow chart.

    Study flow chart. by Johannes Nairz (18010746)

    Published 2024
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  15. 15
    (Related to Fig 6): NPF in LNd and NPFR in LPN are not required to high-temperature-induced evening sleep decrease.

    (Related to Fig 6): NPF in LNd and NPFR in LPN are not required to high-temperature-induced evening sleep decrease. by Xin Yuan (174619)

    Published 2024
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  16. 16
    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the disease prevalence models, ‘Egg count’ refers to the GLMM used to model infection intensity (egg count) in school-aged children (SAC) stools. Some models included a zero-inflation (zi) component to account for excess zeros. A single tick (✓) indicates that the predictor was included in the main (conditional) component of the model; a double tick (✓✓) indicates inclusion in both the conditional and zero-inflation components.

    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

    Published 2025
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  17. 17
    Logistics regression COVID-19 vaccine predictors.

    Logistics regression COVID-19 vaccine predictors. by Adaobi Uchenna Mosanya (20384248)

    Published 2024
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  18. 18
    GLM models for predictors of monthly HIV costs.

    GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

    Published 2024
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  19. 19
    Predictors in ordinal regression model for GDS.

    Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

    Published 2025
    “…In an ordinal regression model BMI was a significant predictor (<i>B</i> = .10, <i>p</i> = .007) for increases in depression. …”
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  20. 20
    Association of knee OA AMVF patients with continuous variables.

    Association of knee OA AMVF patients with continuous variables. by Izzatul Nadiah Zolkiply (19681460)

    Published 2024
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