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Showing 61 - 80 results of 52,690 for search '(( significant increase decrease ) OR ( significant predictor per ))', query time: 0.67s Refine Results
  1. 61
    Final global negative binomial model showing significant predictors of COVID-19 risk in the Greater St. Louis Area, Missouri (USA).

    Final global negative binomial model showing significant predictors of COVID-19 risk in the Greater St. Louis Area, Missouri (USA). by Praachi Das (13876574)

    Published 2022
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  2. 62
    Differentially expressed genes (DEGs) exhibiting both increased and decreased expression levels.

    Differentially expressed genes (DEGs) exhibiting both increased and decreased expression levels. by Liwen Wang (276995)

    Published 2025
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  3. 63
    Proportion of individuals’ general benefits scores that increased, decreased, or remained unchanged between time points.

    Proportion of individuals’ general benefits scores that increased, decreased, or remained unchanged between time points. by Jessie B. Moore (12578140)

    Published 2023
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  4. 64
    Ivermectin significantly decreases <i>L</i>. <i>loa</i> mf in BALB/c mice.

    Ivermectin significantly decreases <i>L</i>. <i>loa</i> mf in BALB/c mice. by Rene Bilingwe Ayiseh (6900296)

    Published 2023
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  5. 65
    Early-stage and mature B lymphocytes significantly decreased but long-lived B lymphocytes increased in APRIL<sup>-/-</sup>/BLyS<sup>-/-</sup> group.

    Early-stage and mature B lymphocytes significantly decreased but long-lived B lymphocytes increased in APRIL<sup>-/-</sup>/BLyS<sup>-/-</sup> group. by Natalie M. Bath (6316517)

    Published 2022
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  6. 66
    Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period.

    Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  7. 67
    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC.

    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

    Published 2021
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  8. 68
    Overrepresented Gene Ontology terms per each sample cluster.

    Overrepresented Gene Ontology terms per each sample cluster. by Jacek Kaczyński (21526339)

    Published 2025
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  9. 69
    Dengue virus infection significantly increases cellular fatty acid contents.

    Dengue virus infection significantly increases cellular fatty acid contents. by Li Xu (108702)

    Published 2024
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  10. 70
    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 production per female tree, (C) seed production per female tree; and (D) seed weight.... by Carmelo Gómez-Martínez (9384385)

    Published 2025
    “…<p>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. …”
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  11. 71
    Longer treatment is associated with increased post-rebound setpoint viral level.

    Longer treatment is associated with increased post-rebound setpoint viral level. by Mykola Pinkevych (125551)

    Published 2023
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  12. 72
    Statistically significant linear increase in use of psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics, gabapentinoids during the observed time period.

    Statistically significant linear increase in use of psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics, gabapentinoids during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  13. 73
    Study cohort flowchart.

    Study cohort flowchart. by Maurice Pradella (11678817)

    Published 2022
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  14. 74
    LA functional parameters and stroke risk based on CHA<sub>2</sub>DS<sub>2</sub>VASc.

    LA functional parameters and stroke risk based on CHA<sub>2</sub>DS<sub>2</sub>VASc. by Maurice Pradella (11678817)

    Published 2022
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  15. 75
    Functional associations with AF Burden score.

    Functional associations with AF Burden score. by Maurice Pradella (11678817)

    Published 2022
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  16. 76
    Multivariable linear regression analyses for predicting factors.

    Multivariable linear regression analyses for predicting factors. by Maurice Pradella (11678817)

    Published 2022
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  17. 77
    LA segmentation performed by the CNN.

    LA segmentation performed by the CNN. by Maurice Pradella (11678817)

    Published 2022
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  18. 78
    LA functional parameters and AFBS.

    LA functional parameters and AFBS. by Maurice Pradella (11678817)

    Published 2022
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  19. 79
    Overview of automatic workflow.

    Overview of automatic workflow. by Maurice Pradella (11678817)

    Published 2022
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  20. 80
    Minimal data set.

    Minimal data set. by Maurice Pradella (11678817)

    Published 2022
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