Search alternatives:
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant anti (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
models based » model based (Expand Search)
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant anti (Expand Search)
inter decrease » linear decrease (Expand Search), water decreases (Expand Search), teer decrease (Expand Search)
models based » model based (Expand Search)
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Consistency of inter-regional patterns of significant-voxel fraction for fastText vectors across vector dimensionality and across movie sets.
Published 2021“…<p>As in the case of the mean prediction accuracy (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.s031" target="_blank">S4 Table</a>), the inter-regional patterns of significant-voxel fraction of fastText vector-based models (Figs <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.g005" target="_blank">5</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009138#pcbi.1009138.s011" target="_blank">S11</a>) were compared between arbitrary pairs of vector dimensionality and movie sets. …”
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Data_Sheet_1_Gaussian Graphical Models Reveal Inter-Modal and Inter-Regional Conditional Dependencies of Brain Alterations in Alzheimer's Disease.pdf
Published 2020“…Currently, the most approaches to analyze statistical associations between regions and imaging modalities rely on Pearson correlation or linear regression models. However, these models are prone to spurious correlations arising from uninformative shared variance and multicollinearity. …”
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Significant (p<0.05) predictors of animal-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.
Published 2020“…<p>Significant (p<0.05) predictors of animal-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.…”
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Significance analysis results.
Published 2025“…<div><p>Amid substantial capital influx and the rapid evolution of online user groups, the increasing complexity of user behavior poses significant challenges to cybersecurity, particularly in the domain of vulnerability prediction. …”
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Odds ratio and 95% confidence interval and p-value for potential significant factors added to the base models to decide about the adjusted model.
Published 2024“…<p>To check for the significant factors for our adjusted model, we added each potentially significant factor to our base model and calculated the p-value. …”
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