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significant factors » significant predictors (Expand Search)
mean decrease » a decrease (Expand Search)
factors case » factors based (Expand Search), factors come (Expand Search), factors layer (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
significant factors » significant predictors (Expand Search)
mean decrease » a decrease (Expand Search)
factors case » factors based (Expand Search), factors come (Expand Search), factors layer (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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Regenerating axons are increased by ATRA and decreased by clodronate.
Published 2021“…Compared to PBS-treated, the number of regenerating axons is doubled by ATRA treatment, decreased by 30% by clodronate, and, in the case of ATRA combined with clodronate, is not significantly different.…”
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Decreased brain-derived neurotrophic factor plasma levels in psoriasis patients
Published 2019“…After adjusting for clinical and demographic variables, significantly decreased BNDF plasma levels were observed in psoriasis patients (P=0.01) (estimated marginal means of 3922 pg/mL; 95%CI=2660-5135) compared with controls (5788 pg/mL; 95%CI=5185-6442). …”
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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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Between-groups comparison of GIN and PPI values in control, tinnitus and PBMT groups.
Published 2024Subjects: -
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Between groups comparison of BTT and threshold in control, tinnitus and PBMT groups.
Published 2024Subjects: -
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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. …”