Search alternatives:
significant use » significant cause (Expand Search), significant i.e (Expand Search), significantly used (Expand Search)
degs decrease » mean decrease (Expand Search), teer decrease (Expand Search), deaths decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
use based » rule based (Expand Search), case based (Expand Search), one based (Expand Search)
significant use » significant cause (Expand Search), significant i.e (Expand Search), significantly used (Expand Search)
degs decrease » mean decrease (Expand Search), teer decrease (Expand Search), deaths decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
use based » rule based (Expand Search), case based (Expand Search), one based (Expand Search)
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App user base growth trends.
Published 2025“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”
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Tests for significant covariation need to not use covariation in producing their alignments.
Published 2023Subjects: -
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An androgen antagonist decreases the levels of Rubicon and GATA4 in Sertoli cells.
Published 2021“…*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. N.S., not significant.</p>…”
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Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation
Published 2025“…Nevertheless, research on glycosyltransferase-related lncRNAs (GTRLs) in endometrial cancer (EC) is still unclear. In this study, we constructed a novel prognostic model based on GTRLs using univariate Cox regression, Lasso, and multivariate stepwise Cox regression analysis. …”
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Contains R code utilized in the analyses.
Published 2024“…The relative abundance of excitatory and inhibitory neurons, astrocytes, oligodendrocytes, microglia, and endothelial cells was estimated from the RNA sequencing data using a deconvolution-based analysis. Spearman correlation analysis between the individuals’ calendar ages and cell type proportions revealed a statistically significant decrease in the proportion of neurons with increasing age. …”
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