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Showing 21 - 40 results of 7,295 for search '(( significant predictors decrease ) OR ( significant ((changes decrease) OR (larger decrease)) ))', query time: 0.67s Refine Results
  1. 21
    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training.

    Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  2. 22
    Time course of 95% Area, X and Y Amplitude Sway during postural training.

    Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)

    Published 2025
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  3. 23
    Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session.

    Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. by Cristina Dolciotti (16317330)

    Published 2025
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  4. 24
    Flow diagram.

    Flow diagram. by Cristina Dolciotti (16317330)

    Published 2025
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  5. 25
    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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  6. 26
    Data.

    Data. by Su Hwan Park (15158181)

    Published 2025
    “…Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. …”
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  7. 27
    Baseline characteristics of patients.

    Baseline characteristics of patients. by Su Hwan Park (15158181)

    Published 2025
    “…Participants in the progression group were younger (60.7 vs. 65.7 years, P = 0.015) and showed a larger BCVA change (0.20 vs. 0.04, P < 0.001) and greater ERM area decrease (34.2% vs. 11.7%, P < 0.001) during the follow-up period. …”
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  8. 28
    Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at .

    Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at . by Alexandra M. Campbell (3284094)

    Published 2025
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  9. 29
    Analysis of Significantly Different Bacteria.

    Analysis of Significantly Different Bacteria. by Xu Jia (187142)

    Published 2025
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  10. 30
    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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  11. 31
    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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  12. 32
    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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  13. 33
    Normalized significant family changes in abundance.

    Normalized significant family changes in abundance. by Karley K. Mahalak (3212670)

    Published 2025
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  14. 34
    Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01.

    Results of Analysis of Co-variance (ANCOVA) for change in parameter predicted by treatment group with pre-treatment value as a covariate. * p < 0.05; ** p < 0.01. by Lijuan Liu (136685)

    Published 2025
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  15. 35
    GLS inhibition decreases IL-1β secretion <i>in vitro</i>.

    GLS inhibition decreases IL-1β secretion <i>in vitro</i>. by Bárbara Ponzilacqua-Silva (17002156)

    Published 2025
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  16. 36
    Sobel test for the significance of the mediation effect.

    Sobel test for the significance of the mediation effect. by Getachew Magnar Kitila (19935139)

    Published 2024
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  17. 37
    S1 Data - Dynamic changes of activated partial thromboplastin time and correlation with mortality in patients with severe fever with thrombocytopenia syndrome: A retrospective cohort study

    S1 Data - Dynamic changes of activated partial thromboplastin time and correlation with mortality in patients with severe fever with thrombocytopenia syndrome: A retrospective coho... by Huan Wang (109286)

    Published 2025
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  18. 38
    EF-24 induces significant transcriptional changes in K-562 cells.

    EF-24 induces significant transcriptional changes in K-562 cells. by Ajeet P. Singh (22298432)

    Published 2025
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  19. 39
    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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  20. 40
    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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