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Showing 1 - 20 results of 4,019 for search '(( significant ((gender decrease) OR (mean decrease)) ) OR ( significant predictor decrease ))*', query time: 0.44s Refine Results
  1. 1
    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
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  2. 2
    Descriptive statistics (means) for full sample and by lockdown status.

    Descriptive statistics (means) for full sample and by lockdown status. by Drew B. Cameron (10687420)

    Published 2024
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  3. 3
    Boxplot mean cfPWV comparisons.

    Boxplot mean cfPWV comparisons. by Johannes Nairz (18010746)

    Published 2024
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  4. 4
    Alterations in CBC parameters in albino rats of both genders after 60 days of administration of dimethoate presented in Mean ± S.E.M. and their significance level.

    Alterations in CBC parameters in albino rats of both genders after 60 days of administration of dimethoate presented in Mean ± S.E.M. and their significance level. by Nida Saleem (17194610)

    Published 2025
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  5. 5
    Alterations in CBC parameters in albino rats of both genders after 30 days of administration of dimethoate presented in Mean ± S.E.M. and their significance level.

    Alterations in CBC parameters in albino rats of both genders after 30 days of administration of dimethoate presented in Mean ± S.E.M. and their significance level. by Nida Saleem (17194610)

    Published 2025
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  6. 6
    Alterations in CBC parameters in albino rats of both genders after 90 days of administration of dimethoate presented in Mean ± S.E.M. and their significance level.

    Alterations in CBC parameters in albino rats of both genders after 90 days of administration of dimethoate presented in Mean ± S.E.M. and their significance level. by Nida Saleem (17194610)

    Published 2025
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  7. 7
    Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single predictor p-values <0.05 indicate statistical significance of that variable with the model outcome. Overall model p-values indicate the model’s overall performance compared to a null model where all coefficients are set to 0. The reported models are the result of an automated model selection algorithm which identified the best-fitting model of all possible predictor variables.

    Results of multiple logistic regression analysis to identify potential factors associated with the successful reduction of HPC and F+ coliphage in the POU UVC LED effluent. Single... by Hania Zanib (21864477)

    Published 2025
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  8. 8
    Logistics regression COVID-19 vaccine predictors.

    Logistics regression COVID-19 vaccine predictors. by Adaobi Uchenna Mosanya (20384248)

    Published 2024
    “…These institutions were chosen based on their large student populations, diverse academic offerings, and significant geographical coverage within the state. …”
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  9. 9
    Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).

    Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (sign... by Mobina Faqani (22783963)

    Published 2025
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  10. 10
    Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).

    Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “... by Mobina Faqani (22783963)

    Published 2025
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  11. 11
    Multivariate regression analysis to explain the decrease in visibility and palpability.

    Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

    Published 2025
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  12. 12
    TBSS results showing significant AxD and RD changes at baseline and the follow-up.

    TBSS results showing significant AxD and RD changes at baseline and the follow-up. by Sewon Lim (21989785)

    Published 2025
    “…The decreased diffusivity metrics (AxD and RD) exhibited no statistically significant differences at <i><i>P</i></i> < 0.05 after correcting for multiple comparisons (FWE). …”
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  13. 13
    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
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  14. 14
    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
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  15. 15
    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
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  16. 16
    Least-squares means (95% confidence intervals) of daily nutrient intake of study participants in men according to frailty groups.

    Least-squares means (95% confidence intervals) of daily nutrient intake of study participants in men according to frailty groups. by Subeen Kim (11714313)

    Published 2025
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  17. 17
    Least-squares means (95% confidence intervals) of daily nutritional intake of study participants in women according to Frailty Groups.

    Least-squares means (95% confidence intervals) of daily nutritional intake of study participants in women according to Frailty Groups. by Subeen Kim (11714313)

    Published 2025
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  18. 18
    Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of a given school) for increases as the Socioeconomic Risk Score of the region of each school decreases (i.e. the school is in a wealthier neighborhood).

    Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of... by Lirika Sola (21560710)

    Published 2025
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  19. 19
    Logistic regression for influenza results predictors.

    Logistic regression for influenza results predictors. by Reem Eid (20889732)

    Published 2025
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  20. 20
    Logistic regression for RSV results predictors.

    Logistic regression for RSV results predictors. by Reem Eid (20889732)

    Published 2025
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