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significant group » significant gap (Expand Search), significant amount (Expand Search)
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Showing 81 - 100 results of 100,223 for search '(( significantly ((less decrease) OR (greater decrease)) ) OR ( significant group using ))', query time: 1.55s Refine Results
  1. 81
    APRIL<sup>-/-</sup> and BLyS<sup>-/-</sup> lymphocyte proliferation significantly decreased when challenged with alloantigen.

    APRIL<sup>-/-</sup> and BLyS<sup>-/-</sup> lymphocyte proliferation significantly decreased when challenged with alloantigen. by Natalie M. Bath (6316517)

    Published 2022
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  2. 82
    Significant interaction (time by group) for PPTd.

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

    Published 2022
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  3. 83
    Results of AFR at axial surfaces of implant prostheses in each group.

    Results of AFR at axial surfaces of implant prostheses in each group. by Long Li (6555)

    Published 2025
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  4. 84
    Distribution of quality of life and respiratory variables scores of all 3 visits (visit = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group. Results are shown as median with interquartile ranges.

    Distribution of quality of life and respiratory variables scores of all 3 visits (visit = day 0, visit 2 = day 35, and visit 3 = day 70) of the PCSO-524 group and the placebo group... by Nattapon Riengvirodkij (11268720)

    Published 2025
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  5. 85
    Factors associated with taking a COVID-19 vaccine (female only n = 124,060,468).

    Factors associated with taking a COVID-19 vaccine (female only n = 124,060,468). by Kenechukwu C. Ben-Umeh (17996326)

    Published 2024
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  6. 86
    Factors associated with taking a booster shot (those who had a COVID-19 vaccine before, n = 182,843,937).

    Factors associated with taking a booster shot (those who had a COVID-19 vaccine before, n = 182,843,937). by Kenechukwu C. Ben-Umeh (17996326)

    Published 2024
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  7. 87
    Comparison of male and female vaccination rates by income group.

    Comparison of male and female vaccination rates by income group. by Kenechukwu C. Ben-Umeh (17996326)

    Published 2024
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  8. 88
    Factors associated with taking a COVID-19 vaccine (all adults n = 241,645,704).

    Factors associated with taking a COVID-19 vaccine (all adults n = 241,645,704). by Kenechukwu C. Ben-Umeh (17996326)

    Published 2024
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  9. 89
    Factors associated with taking a COVID-19 vaccine (male only n = 117,585,236).

    Factors associated with taking a COVID-19 vaccine (male only n = 117,585,236). by Kenechukwu C. Ben-Umeh (17996326)

    Published 2024
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  10. 90
    The significantly enriched pathways in the high group compared with the low group.

    The significantly enriched pathways in the high group compared with the low group. by Bo Zhao (13553)

    Published 2025
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  11. 91
    Previous PMC-PTB group comparing 17P treated population vs. untreated.

    Previous PMC-PTB group comparing 17P treated population vs. untreated. by Gal Cohen (12536546)

    Published 2022
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  12. 92
    Ischemic heart disease-related mortality trends in older adult population and stratified for age groups in 1999–2020.

    Ischemic heart disease-related mortality trends in older adult population and stratified for age groups in 1999–2020. by Fakhar Latif (19760906)

    Published 2025
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  13. 93
    The baseline characteristics of classifications and body condition score of the 2 groups (frequencies) at entry (visit 1, day 0).

    The baseline characteristics of classifications and body condition score of the 2 groups (frequencies) at entry (visit 1, day 0). by Nattapon Riengvirodkij (11268720)

    Published 2025
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  14. 94
    AFR at abutment shoulder in each group calculated by ImageJ software.

    AFR at abutment shoulder in each group calculated by ImageJ software. by Long Li (6555)

    Published 2025
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  15. 95
    AFR of axial surface for each group calculated by ImageJ software.

    AFR of axial surface for each group calculated by ImageJ software. by Long Li (6555)

    Published 2025
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  16. 96
    The significantly altered bacteria between stress group and control group.

    The significantly altered bacteria between stress group and control group. by Durga Paudel (12635367)

    Published 2022
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  17. 97
    Analysis of significantly different lipids between the normoxia and hypoxia groups.

    Analysis of significantly different lipids between the normoxia and hypoxia groups. by Hong Liang (116853)

    Published 2022
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  18. 98
    Latent subgroups of couples defined using women’s experience of IPV at baseline.

    Latent subgroups of couples defined using women’s experience of IPV at baseline. by Alev Gurbuz Cuneo (14762002)

    Published 2023
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  19. 99
    Ischemic heart disease-related mortality trends in older adult population stratified for differential racial groups in 1999–2020.

    Ischemic heart disease-related mortality trends in older adult population stratified for differential racial groups in 1999–2020. by Fakhar Latif (19760906)

    Published 2025
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  20. 100
    Characteristics of patients with AKI diagnosed using KDIGO definition versus patients diagnosed with AKI by eKDIGO only by the decrease in sCr (deKDIGO).

    Characteristics of patients with AKI diagnosed using KDIGO definition versus patients diagnosed with AKI by eKDIGO only by the decrease in sCr (deKDIGO). by Marina Wainstein (12437091)

    Published 2022
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