Showing 1,661 - 1,680 results of 10,025 for search 'significantly ((((((less decrease) OR (we decrease))) OR (greater decrease))) OR (mean decrease))', query time: 0.63s Refine Results
  1. 1661

    Table1_The immunological and prognostic significance of the diabetes mellitus-related gene WFS1 in endometrial cancer.xlsx by Wenzhe Li (815057)

    Published 2024
    “…First, we identified WFS1 as the target gene and obtained EC data from the TCGA database. …”
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    Opioid consumption data. by Wali U. Pirzada (22278071)

    Published 2025
    “…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”
  4. 1664

    Prescription data. by Wali U. Pirzada (22278071)

    Published 2025
    “…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”
  5. 1665

    Refill rate by surgical specialty. by Wali U. Pirzada (22278071)

    Published 2025
    “…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”
  6. 1666

    Noncontinuous data on opioid use. by Wali U. Pirzada (22278071)

    Published 2025
    “…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”
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    The technical route of the study. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  11. 1671

    Point cloud fusion instance effect. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  12. 1672

    Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

    Published 2025
    “…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”
  13. 1673

    Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  14. 1674

    Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
  15. 1675

    Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”
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