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Showing 41 - 60 results of 163,222 for search '(( significant one based ) OR ( significant ((we decrease) OR (linear decrease)) ))', query time: 3.09s Refine Results
  1. 41
    Linear regression.

    Linear regression. by Myriam Aïche (22290591)

    Published 2025
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  2. 42
    Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period.

    Join-point regression analysis of the statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  3. 43
    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  4. 44
    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  5. 45
    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  6. 46
    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  7. 47
    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  8. 48
    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  9. 49
    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  10. 50
    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  11. 51
    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  12. 52
    Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  13. 53
    Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  14. 54
    Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  15. 55
    Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif

    Image 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.tif by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  16. 56
    Fitted estimates and significance levels of linear mixed models for seedling germination, survival and growth.

    Fitted estimates and significance levels of linear mixed models for seedling germination, survival and growth. by Laura García de Jalón (8939456)

    Published 2020
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  17. 57
    Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period.

    Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period. by Jelena Filimonovic (22305307)

    Published 2025
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  18. 58
    Table 1_NSAID use may decrease serum Klotho levels.docx

    Table 1_NSAID use may decrease serum Klotho levels.docx by Jingchao Yan (14079168)

    Published 2025
    “…Subgroup analyses did not reveal any statistically significant interactions.</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.…”
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  19. 59
    DataSheet_1_A cyclic peptide-based PROTAC induces intracellular degradation of palmitoyltransferase and potently decreases PD-L1 expression in human cervical cancer cells.docx

    DataSheet_1_A cyclic peptide-based PROTAC induces intracellular degradation of palmitoyltransferase and potently decreases PD-L1 expression in human cervical cancer cells.docx by Yu-Ying Shi (15975992)

    Published 2023
    “…Introduction<p>Our previous research has found that degradation of palmitoyltransferase in tumor cells using a linear peptide PROTAC leads to a significant decrease in PD-L1 expression in tumors. …”
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  20. 60
    Supp Tables 1 and 2 from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance

    Supp Tables 1 and 2 from Tropical mammal functional diversity increases with productivity but decreases with anthropogenic disturbance by Daniel Gorczynski (10093617)

    Published 2021
    “…We use occupancy values derived from the camera trap data to calculate occupancy-weighted functional diversity and use Bayesian generalized linear regression to determine the effects of multiple predictors. …”
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