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Showing 1 - 20 results of 3,298 for search '(( significant ((ratio decreased) OR (greatest decrease)) ) OR ( significant predictors decrease ))', query time: 0.60s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    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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  5. 5
    Dissipated energy ratio.

    Dissipated energy ratio. by Yongsheng Liu (142720)

    Published 2024
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  6. 6
    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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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    <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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  11. 11
    Poster ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US: United States of America).

    Poster ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Kore... by Ignacio García-Espona (21395335)

    Published 2025
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  12. 12
    Lecturer ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US: United States of America).

    Lecturer ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Ko... by Ignacio García-Espona (21395335)

    Published 2025
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  13. 13
    Logistic regression for influenza results predictors.

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

    Published 2025
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  14. 14
    Logistic regression for RSV results predictors.

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

    Published 2025
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  15. 15
    Multivariate Cox proportional hazard analysis ratio of patient factors associated with treatment outcomes in HIV care, 2020-2022.

    Multivariate Cox proportional hazard analysis ratio of patient factors associated with treatment outcomes in HIV care, 2020-2022. by Ekerette Emmanuel Udoh (7326194)

    Published 2025
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  16. 16
    General characteristics of relative handgrip strength at baseline.

    General characteristics of relative handgrip strength at baseline. by Yeo Ju Sohn (18536198)

    Published 2024
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  17. 17
    This dataset includes detailed information for 22,016 individuals.

    This dataset includes detailed information for 22,016 individuals. by Yeo Ju Sohn (18536198)

    Published 2024
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  18. 18
    Flow diagram of participants meeting the inclusion and exclusion criteria.

    Flow diagram of participants meeting the inclusion and exclusion criteria. by Yeo Ju Sohn (18536198)

    Published 2024
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  19. 19
    Initial participants by wave*.

    Initial participants by wave*. by Yeo Ju Sohn (18536198)

    Published 2024
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  20. 20
    These files contain the STATA program codes used in the study.

    These files contain the STATA program codes used in the study. by Yeo Ju Sohn (18536198)

    Published 2024
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