Search alternatives:
reduction decrease » reduction decreased (Expand Search), reduction reuse (Expand Search), production increases (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
reduction decrease » reduction decreased (Expand Search), reduction reuse (Expand Search), production increases (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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Table 4_Endolysin significantly improves symptoms with atopic dermatitis: bridging the gap from research to clinical practice.xlsx
Published 2025“…Compared to baseline, EASI, SCORAD, IGA, VAS, and DLQI scores demonstrated significant decreases at both Day 7 and Day 14 (all P < 0.05). …”
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Mean absolute change results of all clinical outcomes measured in diabetes related dyslipidemia.
Published 2022Subjects: -
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Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque mean size.
Published 2025“…However, there is only a minimal effect on decreasing plaque size. (C) Short-term-treatment with a high dose of netoglitazone reveals a significant reduction in plaque size, especially observed in the hippocampus, striatum, thalamus, hypothalamus, midbrain, and hindbrain. …”
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Plot of mean simulated power with 95 percentile (2.5 & 97.5%) for select DNAm differences.
Published 2024Subjects: -
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Change in Mean Anxiety Scores Over time by group.
Published 2025“…There was a trend of increased recall rates in group 2 for short-term problems, long-term problems, intervention, and incidence rates, but it did not reach statistically significant level. There was an overall decrease in State Trait Anxiety Inventory (STAI) scores of participants after counseling (p = 0.002) but no statistically difference in change of STAI scores between the two groups (p = 0.981).…”
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Marginal means – Pooled across scenarios.
Published 2025“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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