Showing 1,421 - 1,440 results of 5,113 for search 'significant ((((((gap decrease) OR (step decrease))) OR (greater decrease))) OR (mean decrease))', query time: 0.49s Refine Results
  1. 1421
  2. 1422
  3. 1423

    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). …”
  4. 1424

    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). …”
  5. 1425

    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). …”
  6. 1426
  7. 1427

    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). …”
  8. 1428

    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. …”
  9. 1429

    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. …”
  10. 1430

    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. …”
  11. 1431

    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. …”
  12. 1432

    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. …”
  13. 1433

    BMISES_Data_Part1. 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. …”
  14. 1434

    Baseline characteristics of HSES/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. …”
  15. 1435

    Baseline characteristics of 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. …”
  16. 1436

    Diagram of study 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. …”
  17. 1437
  18. 1438
  19. 1439
  20. 1440