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Showing 61 - 80 results of 5,462 for search '(( significant estimated decrease ) OR ( significantly ((mean decrease) OR (linear decrease)) ))', query time: 0.69s Refine Results
  1. 61
    Effect of sample size on reproducibility.

    Effect of sample size on reproducibility. by Jan Willem Koten (17743224)

    Published 2024
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  2. 62
    Effect of corrections on connectivity maps.

    Effect of corrections on connectivity maps. by Jan Willem Koten (17743224)

    Published 2024
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  3. 63
    Impact of corrections on connectivity.

    Impact of corrections on connectivity. by Jan Willem Koten (17743224)

    Published 2024
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  4. 64
    S1 Data -

    S1 Data - by Jan Willem Koten (17743224)

    Published 2024
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  5. 65
    Connectivity statistics.

    Connectivity statistics. by Jan Willem Koten (17743224)

    Published 2024
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  6. 66
    Hypothetical versus random connectomes.

    Hypothetical versus random connectomes. by Jan Willem Koten (17743224)

    Published 2024
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  7. 67
    Thresholds and group reproducibility.

    Thresholds and group reproducibility. by Jan Willem Koten (17743224)

    Published 2024
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  8. 68
    Reproducibility of response time and brain measures.

    Reproducibility of response time and brain measures. by Jan Willem Koten (17743224)

    Published 2024
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  9. 69
    Linear regression.

    Linear regression. by Myriam Aïche (22290591)

    Published 2025
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  10. 70
    Results of the Sen’s slope estimator and MKz test for the monthly, seasonal and annual rainfall at the selected stations.

    Results of the Sen’s slope estimator and MKz test for the monthly, seasonal and annual rainfall at the selected stations. by Asnake Adane (19935018)

    Published 2025
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  11. 71
    Estimated marginal mean (± SE) age group differences in the average time on ball performed by professional soccer players on a match day for each position.

    Estimated marginal mean (± SE) age group differences in the average time on ball performed by professional soccer players on a match day for each position. by Emily Escreet (20552634)

    Published 2025
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  12. 72
    Statistically significant linear increase in use of psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics, gabapentinoids during the observed time period.

    Statistically significant linear increase in use of psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics, gabapentinoids during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  13. 73
    Join-point regression analysis of the statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period.

    Join-point regression analysis of the statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  14. 74
    Linear contact model.

    Linear contact model. by Qingwen Li (1510687)

    Published 2025
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  15. 75
    Volitional control frequency and intensity in VH (Kapsner-Smith et al., 2025)

    Volitional control frequency and intensity in VH (Kapsner-Smith et al., 2025) by Mara R. Kapsner-Smith (22139315)

    Published 2025
    “…Singers produced significantly smaller mean smallest changes of both <i>F</i>0 and intensity than nonsingers.…”
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  16. 76
    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. 77
    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. 78
    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. 79
    Estimated marginal mean (± SE) age group differences in the relative frequency of releases per minute, performed by professional soccer players on a match day for each position.

    Estimated marginal mean (± SE) age group differences in the relative frequency of releases per minute, performed by professional soccer players on a match day for each position. by Emily Escreet (20552634)

    Published 2025
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  20. 80
    Estimated marginal mean (± SE) age group differences in the relative frequency of ball touches per minute, performed by professional soccer players on a match day for each position.

    Estimated marginal mean (± SE) age group differences in the relative frequency of ball touches per minute, performed by professional soccer players on a match day for each position... by Emily Escreet (20552634)

    Published 2025
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