Search alternatives:
significant predictors » significant reduction (Expand Search)
significant mean » significant main (Expand Search), significant gap (Expand Search), significant degs (Expand Search)
predictors type » predictor types (Expand Search)
mean decrease » a decrease (Expand Search)
Showing 21 - 40 results of 15,286 for search '(( significant mean decrease ) OR ( significant predictors type ))', query time: 0.61s Refine Results
  1. 21
    P-values of all significant genes for each cell type tested in smokers from the HLCA dataset.

    P-values of all significant genes for each cell type tested in smokers from the HLCA dataset. by Qi Song (121209)

    Published 2024
    Save to List
    Saved in:
  2. 22
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), including national parks, national monuments, and national forests included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with a diameter of 2.5 microns.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), i... by Kira Minehart (21029571)

    Published 2025
    Save to List
    Saved in:
  3. 23
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), including city parks, county parks, and regional parks included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
    Save to List
    Saved in:
  4. 24
    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), including state parks and state recreation areas included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). Significant results (p<0.05) in bold. AQI = air quality index; PM 2.5 = particulate matter with diameter <2.5 μm.

    Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), inc... by Kira Minehart (21029571)

    Published 2025
    Save to List
    Saved in:
  5. 25
    Predictors of HRQoL in patients with Type-2 diabetes mellitus.

    Predictors of HRQoL in patients with Type-2 diabetes mellitus. by Girma Tekle Gebremariam (8583729)

    Published 2022
    Save to List
    Saved in:
  6. 26
    P-values of all significant genes for each cell type tested in non-smokers from the HLCA dataset.

    P-values of all significant genes for each cell type tested in non-smokers from the HLCA dataset. by Qi Song (121209)

    Published 2024
    Save to List
    Saved in:
  7. 27
    Vibriocidal activities were significantly decreased by depletion of IgM in serum.

    Vibriocidal activities were significantly decreased by depletion of IgM in serum. by Jae Seung Yang (701319)

    Published 2019
    Save to List
    Saved in:
  8. 28
    DICER protein expression is significantly decreased in the absence of MOV10 and FMRP.

    DICER protein expression is significantly decreased in the absence of MOV10 and FMRP. by Monica C. Lannom (11772729)

    Published 2021
    Save to List
    Saved in:
  9. 29
    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone.

    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

    Published 2020
    Save to List
    Saved in:
  10. 30
    Service access by varying concern type.

    Service access by varying concern type. by Michelle Hirsch (206789)

    Published 2025
    Save to List
    Saved in:
  11. 31
    Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI).

    Feature importance of the extracted characteristics from the simulation using Mean Decrease in Impurity (MDI). by Simon Bin Akter (17951860)

    Published 2024
    Save to List
    Saved in:
  12. 32
    Variants assigned Clinvar pathogenic clinical significance.

    Variants assigned Clinvar pathogenic clinical significance. by Anastasiia Buianova (19871022)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  13. 33
    Mean scores, standard deviations, and significance on key measures and subscales by gender group.

    Mean scores, standard deviations, and significance on key measures and subscales by gender group. by Silas Manning (22693338)

    Published 2025
    Save to List
    Saved in:
  14. 34
    Machine Learning Model Performance Sorted by Decreasing MAE.

    Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

    Published 2022
    Save to List
    Saved in:
  15. 35
    Significant decrease of the viability of A375 melanoma cells after CD treatment.

    Significant decrease of the viability of A375 melanoma cells after CD treatment. by Lena Berning (7430117)

    Published 2019
    Save to List
    Saved in:
  16. 36
    Comparing demographic data (mean values).

    Comparing demographic data (mean values). by Tamer Shousha (10960632)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  17. 37
    Results of the mediation analysis (problematic gaming as the predictor variable).

    Results of the mediation analysis (problematic gaming as the predictor variable). by Harshil Shah (9486063)

    Published 2024
    Save to List
    Saved in:
  18. 38
    The mean absolute SHAP values for all predictors.

    The mean absolute SHAP values for all predictors. by Ali Golestani (4651399)

    Published 2025
    “…<div><p>Background</p><p>Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. …”
    Save to List
    Saved in:
  19. 39
    SHAP beeswarm summary plot of all predictors.

    SHAP beeswarm summary plot of all predictors. by Ali Golestani (4651399)

    Published 2025
    “…<div><p>Background</p><p>Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. …”
    Save to List
    Saved in:
  20. 40
    Gender, type of sport and perceived social support as predictors of eating disorder behaviours.

    Gender, type of sport and perceived social support as predictors of eating disorder behaviours. by Thea A. J. Button (19556006)

    Published 2024
    Save to List
    Saved in:

Search Tools: