Search alternatives:
significant load » significant loss (Expand Search), significant long (Expand Search), significant gap (Expand Search)
mean decrease » a decrease (Expand Search)
load increase » fold increase (Expand Search), could increase (Expand Search), fold increased (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
significant load » significant loss (Expand Search), significant long (Expand Search), significant gap (Expand Search)
mean decrease » a decrease (Expand Search)
load increase » fold increase (Expand Search), could increase (Expand Search), fold increased (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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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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Mating significantly increases survival and bacterial load in females infected with a high dose of <i>S. marcescens.</i>
Published 2025“…Both blood feeding (p = 2.324 x 10<sup>-07</sup>) and mating status (p = 0.003) significantly predicted survival. Mating significantly increased survival in NBF females (p = 0.002), while in BF females, it had no effect (p = 0.325). …”
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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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