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significant interaction » significant reduction (Expand Search), significant attention (Expand Search)
interaction increases » infection increases (Expand Search), interventions increased (Expand Search), intervention decreases (Expand Search)
significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
linear decrease » linear increase (Expand Search)
Showing 61 - 80 results of 30,628 for search '(( significantly linear decrease ) OR ( significant interaction increases ))', query time: 0.83s Refine Results
  1. 61
    BMI groups by SES.

    BMI groups by SES. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  2. 62
    BMISES_Data_Part2.

    BMISES_Data_Part2. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  3. 63
    Logistic regression for LSES population.

    Logistic regression for LSES population. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  4. 64
    Logistic regression for HSES population.

    Logistic regression for HSES population. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  5. 65
    Logistic regression for overall population.

    Logistic regression for overall population. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  6. 66
    BMISES_Data_Part1.

    BMISES_Data_Part1. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  7. 67
    Baseline characteristics of HSES/LSES population.

    Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  8. 68
    Baseline characteristics of overall population.

    Baseline characteristics of overall population. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  9. 69
    Diagram of study population.

    Diagram of study population. by Krystal Hunter (6820052)

    Published 2025
    “…For every increase in BMI, there was a decrease in the probability of PTB (OR = 0.923, 95% CI 0.915–0.931, P < 0.001). …”
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  10. 70
    <i>In vivo</i> voxel based morphometry identified a significant interaction between time and training.

    <i>In vivo</i> voxel based morphometry identified a significant interaction between time and training. by Alexandra Badea (352052)

    Published 2019
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  11. 71
    Genes identified as significantly dysregulated in all three mutants.

    Genes identified as significantly dysregulated in all three mutants. by Nathan D. Hicks (9537118)

    Published 2020
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  12. 72
    Linear regression model with MBI score.

    Linear regression model with MBI score. by Nadia Yanet Cortés-Álvarez (18611445)

    Published 2024
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  13. 73
    Linear regression between PCB TEQ and ∑PCB in different study areas.

    Linear regression between PCB TEQ and ∑PCB in different study areas. by Matti Viluksela (321291)

    Published 2024
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  14. 74
    Linear regression between ∑PCB and ∑indicator PCB in different study areas.

    Linear regression between ∑PCB and ∑indicator PCB in different study areas. by Matti Viluksela (321291)

    Published 2024
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  15. 75
    ANOVA test of the linear regression model.

    ANOVA test of the linear regression model. by Dania AL-Najjar (11840857)

    Published 2022
    Subjects:
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  16. 76
    Statistically significant interactions of owner and dog parameters on MDORS Factor 2 “Burden”.

    Statistically significant interactions of owner and dog parameters on MDORS Factor 2 “Burden”. by Kai Alain von Rentzell (12877915)

    Published 2022
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  17. 77
    Statistically significant interactions of owner and dog parameters on MDORS Factor 1 “Struggle”.

    Statistically significant interactions of owner and dog parameters on MDORS Factor 1 “Struggle”. by Kai Alain von Rentzell (12877915)

    Published 2022
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  18. 78
    Statistically significant interactions of owner and dog parameters on HAB Factor 1 “Regret”.

    Statistically significant interactions of owner and dog parameters on HAB Factor 1 “Regret”. by Kai Alain von Rentzell (12877915)

    Published 2022
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  19. 79
    Statistically significant interactions of owner and dog parameters on CBARQ Factor 2 “Excitability”.

    Statistically significant interactions of owner and dog parameters on CBARQ Factor 2 “Excitability”. by Kai Alain von Rentzell (12877915)

    Published 2022
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  20. 80
    Statistically significant interactions of owner and dog parameters on HAB Factor 2 “Satisfaction”.

    Statistically significant interactions of owner and dog parameters on HAB Factor 2 “Satisfaction”. by Kai Alain von Rentzell (12877915)

    Published 2022
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