يعرض 41 - 60 نتائج من 9,079 نتيجة بحث عن '(( based ((mean decrease) OR (a decrease)) ) OR ( a ((largest decrease) OR (larger decrease)) ))', وقت الاستعلام: 0.54s تنقيح النتائج
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    Change in Mean Anxiety Scores Over time by group. حسب Shaaista Budhani (21030221)

    منشور في 2025
    "…</p><p>Trial registration</p><p>Clinical<u>Trials.gov</u> <a href="https://clinicaltrials.gov/study/NCT02707237" target="_blank">NCT02707237</a></p></div>…"
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    Mann-Kendall test for the mean temperature index. حسب Chengyuan Hao (21615653)

    منشور في 2025
    "…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …"
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    Summary statistics of key variables. حسب Saul Estrin (8629173)

    منشور في 2024
    "…We find that in developing countries, as urban economic density increases, innovation first increases and then begins to decrease beyond a certain point, with the decline being most prominent in the largest cities. …"
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    Study-related adverse events. حسب Benjamin R. Lewis (22279166)

    منشور في 2025
    "…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …"
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    Study flow chart. حسب Benjamin R. Lewis (22279166)

    منشور في 2025
    "…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …"
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    Study CONSORT diagram. حسب Benjamin R. Lewis (22279166)

    منشور في 2025
    "…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …"