Search alternatives:
significant temporal » significant compared (Expand Search)
temporal increase » seasonal increase (Expand Search), general increase (Expand Search), temperature increase (Expand Search)
mean decrease » a decrease (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
significant temporal » significant compared (Expand Search)
temporal increase » seasonal increase (Expand Search), general increase (Expand Search), temperature increase (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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Group C example; CXCL6: Temporal pattern of protein expression level (mean NPX ± 0.95 CI) for C-X-C motif chemokine ligand 6 (CXCL6) showing statistically significant late peak and increasing trend, that is day 1 < day 4 < day 10 mean NPX values (4,41 vs 6,81 vs 8,57 respectively; p<0,005).
Published 2022“…<p>Group C example; CXCL6: Temporal pattern of protein expression level (mean NPX ± 0.95 CI) for C-X-C motif chemokine ligand 6 (CXCL6) showing statistically significant late peak and increasing trend, that is day 1 < day 4 < day 10 mean NPX values (4,41 vs 6,81 vs 8,57 respectively; p<0,005).…”
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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. …”
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TBSS results showing significant AxD and RD changes at baseline and the follow-up.
Published 2025Subjects: -
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Mean interval from initial diagnosis to initiation of non-pharmacological treatment by year.
Published 2025Subjects: