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Showing 1 - 20 results of 273 for search '(( significant predictor decrease ) OR ( significantly ((i decrease) OR (a decrease)) ))~', query time: 0.44s Refine Results
  1. 1
    <b>Addition root exudates increase microbial biomass but decreases diversity and richness.</b>

    <b>Addition root exudates increase microbial biomass but decreases diversity and richness.</b> by Xiaochong Zhang (21179348)

    Published 2025
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  2. 2
    Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of a given school) for increases as the Socioeconomic Risk Score of the region of each school decreases (i.e. the school is in a wealthier neighborhood).

    Hypothesis 3: The mean difference between “Class 1” (a school attack happens within <i>k</i> kms. of a given school) and “Class 0” (no school attack happens within <i>k</i> kms. of... by Lirika Sola (21560710)

    Published 2025
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  3. 3
    Predictors of SCD.

    Predictors of SCD. by Iftikhar Ali Ch (20783753)

    Published 2025
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  4. 4
    GLM models for predictors of monthly HIV costs.

    GLM models for predictors of monthly HIV costs. by Drew B. Cameron (10687420)

    Published 2024
    “…<div><p>Background</p><p>Despite improvements to the cascade of HIV care in East Africa, access to care for non-communicable disease co-morbidities like hypertension (HTN) remains a persistent problem. The integration of care for these conditions presents an opportunity to achieve efficiencies in delivery as well as decrease overall costs for patients. …”
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  5. 5
    Logistics regression COVID-19 vaccine predictors.

    Logistics regression COVID-19 vaccine predictors. by Adaobi Uchenna Mosanya (20384248)

    Published 2024
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  6. 6
    Supplementary Material for: Decreased Quality of Life in patients who desire Body Contouring Surgery after Bariatric Metabolic Surgery: A multicenter longitudinal analysis

    Supplementary Material for: Decreased Quality of Life in patients who desire Body Contouring Surgery after Bariatric Metabolic Surgery: A multicenter longitudinal analysis by Dijkhorst P.J. (20584910)

    Published 2025
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  7. 7
    Additional file 6 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study

    Additional file 6 of Decreased complement 4 and interleukin-10 as biomarkers in aqueous humour for non-exudative age-related macular degeneration: a case control study by Juliane Schikora (20871169)

    Published 2025
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  8. 8
    AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves.

    AUC of various models to predict imeglimin efficacy for liver function evaluated by ROC curves. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  9. 9
    Logistic regression analysis to predict the efficacy for liver function.

    Logistic regression analysis to predict the efficacy for liver function. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  10. 10
    Comparison in baseline variables between efficacy group and non-efficacy group.

    Comparison in baseline variables between efficacy group and non-efficacy group. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  11. 11
    Comparison of ALT (A), AST (B), and Fib-4 index (C) before and after imeglimin treatment in ALT ≥ 25 IU/L and ALT < 25IU/L groups.

    Comparison of ALT (A), AST (B), and Fib-4 index (C) before and after imeglimin treatment in ALT ≥ 25 IU/L and ALT < 25IU/L groups. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  12. 12
    Clinical characteristics at baseline and at the end of the study.

    Clinical characteristics at baseline and at the end of the study. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  13. 13
    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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  14. 14
    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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  15. 15
    Median cost (USD) per visit breakdown.

    Median cost (USD) per visit breakdown. by Drew B. Cameron (10687420)

    Published 2024
    “…<div><p>Background</p><p>Despite improvements to the cascade of HIV care in East Africa, access to care for non-communicable disease co-morbidities like hypertension (HTN) remains a persistent problem. The integration of care for these conditions presents an opportunity to achieve efficiencies in delivery as well as decrease overall costs for patients. …”
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  16. 16
    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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  17. 17
    Initial participants by wave*.

    Initial participants by wave*. by Yeo Ju Sohn (18536198)

    Published 2024
    “…<div><p>Background</p><p>Diabetes mellitus (DM) is a significant public health concern, particularly in the elderly population. …”
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  18. 18
    General characteristics of research participants.

    General characteristics of research participants. by Yeo Ju Sohn (18536198)

    Published 2024
    “…<div><p>Background</p><p>Diabetes mellitus (DM) is a significant public health concern, particularly in the elderly population. …”
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  19. 19
    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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  20. 20
    Table 1_Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC.docx

    Table 1_Expression and prognostic significance of the m6A RNA methylation regulator HNRNPC in HNSCC.docx by Yulin Zhang (510822)

    Published 2025
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