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Showing 1 - 20 results of 451 for search '(( significant predictors decrease ) OR ( significantly ((_ decreased) OR (_ decrease)) ))~', query time: 0.42s Refine Results
  1. 1
    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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  2. 2
    Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort.

    Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

    Published 2025
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  3. 3
    Significant inter-relationships between baseline variables and MSCC or MCS.

    Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

    Published 2025
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  4. 4
    <b>Addition root exudates increase microbial biomass but decreases diversity and richness.</b>

    <b>Addition root exudates increase microbial biomass but decreases diversity and richness.</b> by Xiaochong Zhang (21179348)

    Published 2025
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  5. 5
    Logistic regression for influenza results predictors.

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

    Published 2025
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  6. 6
    Logistic regression for RSV results predictors.

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

    Published 2025
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  7. 7
    Sociodemographic and economic factors of study subjects, Ethiopia, EDHS 2005–2016 (N = 29,525).

    Sociodemographic and economic factors of study subjects, Ethiopia, EDHS 2005–2016 (N = 29,525). by Girma Beressa (9580436)

    Published 2024
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  8. 8
    Multivariable multilevel mixed-effects logistic regression analyses of zinc utilisation and predictors among under-five children with diarrhoea, Ethiopia, 2005–2016 (N = 29,525).

    Multivariable multilevel mixed-effects logistic regression analyses of zinc utilisation and predictors among under-five children with diarrhoea, Ethiopia, 2005–2016 (N = 29,525). by Girma Beressa (9580436)

    Published 2024
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  9. 9
    Predictors of SCD.

    Predictors of SCD. by Iftikhar Ali Ch (20783753)

    Published 2025
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  10. 10
    GLM models for predictors of monthly HIV costs.

    GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

    Published 2024
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  11. 11
    GLM models for predictors of monthly HTN care costs.

    GLM models for predictors of monthly HTN care costs. by Drew B. Cameron (10687420)

    Published 2024
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  12. 12
    Logistics regression COVID-19 vaccine predictors.

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

    Published 2024
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  13. 13
    Depression, anxiety, and stress as predictors of implemental delay and school burnout.

    Depression, anxiety, and stress as predictors of implemental delay and school burnout. by Katarzyna Markiewicz (20489903)

    Published 2024
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  14. 14
    Supplementary Material for: Decreased Quality of Life in patients who desire Body Contouring Surgery after Bariatric Metabolic Surgery: A multicenter longitudinal analysis

    Supplementary Material for: Decreased Quality of Life in patients who desire Body Contouring Surgery after Bariatric Metabolic Surgery: A multicenter longitudinal analysis by Dijkhorst P.J. (20584910)

    Published 2025
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  15. 15
    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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  16. 16
    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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  17. 17
    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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  18. 18
    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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  19. 19
    Additional file 6 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 6 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  20. 20
    Multivariable Gompertz AFT model for survival status and predictors among stroke patients (n = 137).

    Multivariable Gompertz AFT model for survival status and predictors among stroke patients (n = 137). by Farayi Kaseke (19560197)

    Published 2024
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