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significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
Showing 201 - 220 results of 18,170 for search '(( significantly ((we decrease) OR (a decrease)) ) OR ( significantly linear decrease ))', query time: 0.34s Refine Results
  1. 201
    Linear trends of weekly prescription rates of NVBP varieties.

    Linear trends of weekly prescription rates of NVBP varieties. by Chenxuan Zhu (22622476)

    Published 2025
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  2. 202
    BMI groups by SES.

    BMI groups by SES. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  3. 203
    BMISES_Data_Part2.

    BMISES_Data_Part2. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  4. 204
    Logistic regression for LSES population.

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

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  5. 205
    Logistic regression for HSES population.

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

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  6. 206
    Logistic regression for overall population.

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

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  7. 207
    BMISES_Data_Part1.

    BMISES_Data_Part1. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  8. 208
    Baseline characteristics of HSES/LSES population.

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

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  9. 209
    Baseline characteristics of overall population.

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

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  10. 210
    Diagram of study population.

    Diagram of study population. by Krystal Hunter (6820052)

    Published 2025
    “…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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  11. 211
    Association between flavonoid intakes and metabolic dysfunction-associated steatotic liver disease (MASLD) using a Restricted Cubic Spline regression model, adjusted for age, sex, race/ethnicity, education level and poverty-income ratio, BMI, diabetes, smoking status and drinking status.

    Association between flavonoid intakes and metabolic dysfunction-associated steatotic liver disease (MASLD) using a Restricted Cubic Spline regression model, adjusted for age, sex,... by Yuwei He (1565941)

    Published 2025
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  12. 212
    Sensory-evoked potentials of N80 and N150.

    Sensory-evoked potentials of N80 and N150. by Soheila Qanbari (20455173)

    Published 2024
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  13. 213
    Narrow- and broad-band spectral changes after hemispherotomy in an awake representative patient, displaying marked electroencephalography (EEG) slowing of the isolated cortex.

    Narrow- and broad-band spectral changes after hemispherotomy in an awake representative patient, displaying marked electroencephalography (EEG) slowing of the isolated cortex. by Michele Angelo Colombo (22446342)

    Published 2025
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  14. 214
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  15. 215
    Effects of GJE extract treatment decreased expression of NF-kB p65.

    Effects of GJE extract treatment decreased expression of NF-kB p65. by Natnicha Suttawong (22367172)

    Published 2025
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  16. 216
    Suggestive significant associations in the candidate gene approach.

    Suggestive significant associations in the candidate gene approach. by Dai Nogimura (21445649)

    Published 2025
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  17. 217
    Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation

    Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

    Published 2025
    “…And the low-risk cohort exhibited increased immune infiltration and decreased tumor purity. Additionally, significant differences in tumor mutation profiles were observed, with the tumor mutation burden (TMB) being higher in the low-risk cohort, suggesting a potentially better response to immunotherapy. …”
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  18. 218
    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the disease prevalence models, ‘Egg count’ refers to the GLMM used to model infection intensity (egg count) in school-aged children (SAC) stools. Some models included a zero-inflation (zi) component to account for excess zeros. A single tick (✓) indicates that the predictor was included in the main (conditional) component of the model; a double tick (✓✓) indicates inclusion in both the conditional and zero-inflation components.

    Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

    Published 2025
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  19. 219
    Rates of change in each retinal layer thickness, calculated using linear mixed models.

    Rates of change in each retinal layer thickness, calculated using linear mixed models. by Jung-Tae Kim (8997767)

    Published 2025
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  20. 220
    Data for the G7 countries in 2022.

    Data for the G7 countries in 2022. by Luis Alberiko Gil-Alana (14659817)

    Published 2024
    “…The results indicate that only France displays a significant negative trend and thus a continuous decrease in the level of alcohol consumption. …”
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