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Showing 121 - 140 results of 46,444 for search '(( significant effect regression ) OR ( significant ((main decrease) OR (mean decrease)) ))', query time: 1.55s Refine Results
  1. 121
    Significant interaction (time by group) for PPTd.

    Significant interaction (time by group) for PPTd. by Einat Kodesh (13132997)

    Published 2022
    “…<p>The measurement of pain pressure threshold (mean±standard error) on the Deltoid (PPTd) showed that responders (black solid line) demonstrated a significant decrease in PPTd following eccentric exercise. …”
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  2. 122
    MANCOVA’s main and interactive effect results.

    MANCOVA’s main and interactive effect results. by Nina Brkić-Jovanović (18886883)

    Published 2024
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  3. 123
    Results of OLS panel regression and Spatial regression.

    Results of OLS panel regression and Spatial regression. by Yiniu Cui (17841478)

    Published 2024
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  4. 124
    Regression results of intermediary effect.

    Regression results of intermediary effect. by Peng Wang (34436)

    Published 2022
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  5. 125
    Results of the regression model with interaction effect.

    Results of the regression model with interaction effect. by Annalisa Grandi (16698920)

    Published 2023
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  6. 126
    Regression results.

    Regression results. by Shahid Ali (5778020)

    Published 2024
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  7. 127
    Regression results.

    Regression results. by Shahid Ali (5778020)

    Published 2024
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  8. 128
    Distribution of no. of significant villages and regression coefficients estimated by MGWR model.

    Distribution of no. of significant villages and regression coefficients estimated by MGWR model. by Chengxiang Wang (1435768)

    Published 2024
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  9. 129
    Negative binomial relationship between sea surface temperature (SST) and daily mean point-count abundance for the six most abundant taxa with statistically significant (p<0.05) relationships across the 12 intertidal sites within the Main Hawaiian Islands from 2004–2019.

    Negative binomial relationship between sea surface temperature (SST) and daily mean point-count abundance for the six most abundant taxa with statistically significant (p<0.05) rel... by Rebecca J. Ward (9872202)

    Published 2023
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  10. 130
    Regression results 3.

    Regression results 3. by Hyunha Shin (13149806)

    Published 2022
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  11. 131
    Regression results 2.

    Regression results 2. by Hyunha Shin (13149806)

    Published 2022
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  12. 132
    Regression results 1.

    Regression results 1. by Hyunha Shin (13149806)

    Published 2022
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  13. 133
    Clumped results representing significant regions showing interaction with lifetime depression for migraine by logistic regression analysis.

    Clumped results representing significant regions showing interaction with lifetime depression for migraine by logistic regression analysis. by Peter Petschner (665825)

    Published 2021
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  14. 134
    Regression analysis of main variables.

    Regression analysis of main variables. by Guoping Dong (1418968)

    Published 2023
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  15. 135
    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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  16. 136
    Benchmark regression results.

    Benchmark regression results. by Zenan Qin (14784405)

    Published 2025
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  17. 137
    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China.

    The map of the study site in Jiangling County, Hubei Province, People’s Republic of China. by Jiaxin Feng (4926844)

    Published 2023
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  18. 138
    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021.

    Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  19. 139
    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021.

    Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

    Published 2023
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  20. 140
    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.cn/ngcc/ with credit to National Geomatics Center of China.

    Local spatial autocorrelation analysis of the average density of living snails in Jiangling County from 2005 to 2021. The base layer of the figure in paper is from http://www.ngcc.... by Jiaxin Feng (4926844)

    Published 2023
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