Search alternatives:
mean decrease » a decrease (Expand Search)
changes post » change point (Expand Search), change poses (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
mean decrease » a decrease (Expand Search)
changes post » change point (Expand Search), change poses (Expand Search)
gap decrease » a decrease (Expand Search), gain decreased (Expand Search), step decrease (Expand Search)
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Between groups comparison of BTT and threshold in control, tinnitus and PBMT groups.
Published 2024Subjects: -
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CLDT Metabolomics Table S3. Significant changes in metabolites from pre- to post-CLDT
Published 2023“…<p>Supplemental Table 3. Significant changes in the serum metabolome during Cadet Leader Development Training (CLDT). …”
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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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Significant decline in circulating T- and B-cell frequencies after cervical SCI compared to sham-operated rats.
Published 2020“…These frequencies did not change with time post-cervical SCI, whereas in shams T- and B- cells exhibited time-dependent changes; with (a) T- cells marking a significant increase from 2 to 10 weeks and a drop from 10 to 20 weeks, whereas (b) B- cell proportions declined from 10 to 20 weeks p.i. …”
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Mean interval from initial diagnosis to initiation of non-pharmacological treatment by year.
Published 2025Subjects: -
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Narrowest Significance Pursuit: Inference for Multiple Change-Points in Linear Models
Published 2023“…<p>We propose Narrowest Significance Pursuit (NSP), a general and flexible methodology for automatically detecting localized regions in data sequences which each must contain a change-point (understood as an abrupt change in the parameters of an underlying linear model), at a prescribed global significance level. …”