Showing 1,281 - 1,300 results of 4,812 for search 'significant ((((gap decrease) OR (((teer decrease) OR (greater decrease))))) OR (mean decrease))', query time: 0.50s Refine Results
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    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). …”
  12. 1292

    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). …”
  13. 1293

    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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    Prisma flow diagram of study selection. by Hattapark Dejakaisaya (22238613)

    Published 2025
    “…Additionally, watching ≥6 hours of television per day was associated with a significant decrease in cognitive score (standardized beta coefficient = −0.09; 95% CI: −0.17, −0.003; I<sup>2</sup> = 71.8%; seven studies). …”
  16. 1296

    BMI groups by SES. by Krystal Hunter (6820052)

    Published 2025
    “…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
  17. 1297

    BMISES_Data_Part2. by Krystal Hunter (6820052)

    Published 2025
    “…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
  18. 1298

    Logistic regression for LSES population. by Krystal Hunter (6820052)

    Published 2025
    “…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
  19. 1299

    Logistic regression for HSES population. by Krystal Hunter (6820052)

    Published 2025
    “…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”
  20. 1300

    Logistic regression for overall population. by Krystal Hunter (6820052)

    Published 2025
    “…Our objective is to fill in the knowledge gap by evaluating the interaction of socio-economic status (SES) and BMI and its relationship to the rate of PTB. …”