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significant estimated » significant estimates (Expand Search), significantly mitigated (Expand Search), significantly overestimated (Expand Search)
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Showing 1 - 20 results of 7,105 for search '(( significant estimated decrease ) OR ( significant predictor decrease ))', query time: 1.51s Refine Results
  1. 1
    Fitted estimates and significance levels of linear mixed models for seedling germination, survival and growth.

    Fitted estimates and significance levels of linear mixed models for seedling germination, survival and growth. by Laura García de Jalón (8939456)

    Published 2020
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  2. 2
    Independent predictors of receiving ECR.

    Independent predictors of receiving ECR. by Deanna H. Wong (11812836)

    Published 2021
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  3. 3
    Parameter estimates (standardized regression coefficients) for univariate conditional LCS models.

    Parameter estimates (standardized regression coefficients) for univariate conditional LCS models. by Michele Vecchione (343684)

    Published 2022
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  4. 4
    Generalized estimating equation model covariance structure analysis.

    Generalized estimating equation model covariance structure analysis. by Yeo Ju Sohn (18536198)

    Published 2024
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  5. 5
    Table_1_Decreased natural killer cell activity as a potential predictor of hypertensive incidence.docx

    Table_1_Decreased natural killer cell activity as a potential predictor of hypertensive incidence.docx by Yun-Kyong Lee (18426192)

    Published 2024
    “…</p>Results<p>The prevalence of hypertension was not different among the NKA quartiles, whereas blood pressures significantly decreased, followed by an increment of quartiles (systolic blood pressure of 119.0 in Q1 and 117.0 in Q4, P-trend = 0.018). …”
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  6. 6
    Generalized estimation equation model analysis of diabetes mellitus incidence according to relative handgrip strength.

    Generalized estimation equation model analysis of diabetes mellitus incidence according to relative handgrip strength. by Yeo Ju Sohn (18536198)

    Published 2024
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  7. 7
    Mixed effects cox regression showing predictors of viral suppression using hazard ratios among persons with post-ART viral load tests in Jamaica, 2017–2019.

    Mixed effects cox regression showing predictors of viral suppression using hazard ratios among persons with post-ART viral load tests in Jamaica, 2017–2019. by Anya Cushnie (11269155)

    Published 2024
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  8. 8
    Predictors of coronary hyperemic DPV decrease after percutaneous coronary intervention.

    Predictors of coronary hyperemic DPV decrease after percutaneous coronary intervention. by Eisuke Usui (12111855)

    Published 2024
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  9. 9
    Significant predictors of PTSD trajectories among postpartum women, Northwest Ethiopia, 2021.

    Significant predictors of PTSD trajectories among postpartum women, Northwest Ethiopia, 2021. by Marelign Tilahun Malaju (12401482)

    Published 2022
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  10. 10
    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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  11. 11
    Summary of point estimates burnout at the follow-up survey from the multivariable generalized linear regression assessing the impact of wellbeing, workplace, and demographic variables on burnout at follow-up.

    Summary of point estimates burnout at the follow-up survey from the multivariable generalized linear regression assessing the impact of wellbeing, workplace, and demographic variab... by Sarah Elizabeth Scales (12972097)

    Published 2024
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  12. 12
    Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation (SCr-ED).

    Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation... by M. S. A. Niemantsverdriet (11886431)

    Published 2021
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  13. 13
    Importance of the predictor variables for estimating AGB using a random forest model.

    Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)

    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 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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  15. 15
    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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  16. 16
    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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  17. 17
    Model fit for Mixed-Effects Multi-linear Regressions with PSS as a continuous outcome measure.

    Model fit for Mixed-Effects Multi-linear Regressions with PSS as a continuous outcome measure. by Laura S. P. Bloomfield (3820531)

    Published 2024
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  18. 18
    Association between sleep measures and changes in stress and deviations in stress among first-year college students (N = 3,112).

    Association between sleep measures and changes in stress and deviations in stress among first-year college students (N = 3,112). by Laura S. P. Bloomfield (3820531)

    Published 2024
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  19. 19
    Participant demographics, stress, and sleep characteristics of fall semester for 525 first-year college students from 3,112 Oura sleep measures.

    Participant demographics, stress, and sleep characteristics of fall semester for 525 first-year college students from 3,112 Oura sleep measures. by Laura S. P. Bloomfield (3820531)

    Published 2024
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  20. 20
    Sleep Measures Data.

    Sleep Measures Data. by Laura S. P. Bloomfield (3820531)

    Published 2024
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