Search alternatives:
significant change » significant changes (Expand Search), significant challenge (Expand Search)
change points » change point (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
significant change » significant changes (Expand Search), significant challenge (Expand Search)
change points » change point (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
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Mean and standard error of the mean for force capability according to anchor point level change.
Published 2022Subjects: -
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Multi-organ differential gene expression changes statistically significant at hypertension onset.
Published 2024“…<i>Tgfb1</i> is significantly decreased in male SHR kidney compared to female at 16 weeks of age (p = 0.004). …”
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Taxonomic changes grouped by phylum and direction of change in relative abundance that were significantly different in either time point comparison by PERMANOVA analysis.
Published 2022“…Log2 fold change (Log2FC) between mean relative abundances at each time point are colored in orange for increasing fold change, and blue for decreasing fold change. …”
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Summary of post-treatment CAPS score changes from clinical trials with psychotherapies.
Published 2025Subjects: -
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Summary of post-treatment CAPS score changes from clinical trials with FDA-approved medications.
Published 2025Subjects: -
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Post-treatment CAPS score changes from clinical trials with off-label PTSD medications.
Published 2025Subjects: -
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Y-27632 collaborated with BA to attenuate the increase in the integrity and decrease in the permeability of epithelial barrier injury induced by LPS in Caco2 monolayers.
Published 2024“…The values are expressed as the means ± SDs and were analyzed according to the variance of the factorial design. **, *** and ****denote <i>p</i> < 0.01, < 0.001 and < 0.0001, respectively; ns = not significant.…”
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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. …”
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