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largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
significant each » significant health (Expand Search), significant gap (Expand Search), significant co (Expand Search)
larger decrease » marked decrease (Expand Search)
each regression » graph regression (Expand Search), data regression (Expand Search), a regression (Expand Search)
largest decrease » largest decreases (Expand Search), marked decrease (Expand Search)
significant each » significant health (Expand Search), significant gap (Expand Search), significant co (Expand Search)
larger decrease » marked decrease (Expand Search)
each regression » graph regression (Expand Search), data regression (Expand Search), a regression (Expand Search)
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Pairwise comparisons and significance tests between algorithms for each regression metric.
Published 2025“…<p>Pairwise comparisons and significance tests between algorithms for each regression metric.…”
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Results of the regression coefficient significance test between each variable and the dependent variable.
Published 2023“…<p>Results of the regression coefficient significance test between each variable and the dependent variable.…”
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Long COVID prevalence decreases with vaccine uptake in the U.S.
Published 2023“…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”
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The regression coefficients for factors with a non-zero significance ratio in MGWR and the proportion of villages or communities with a significant regression coefficient of each study factor.
Published 2023“…<p>The regression coefficients for factors with a non-zero significance ratio in MGWR and the proportion of villages or communities with a significant regression coefficient of each study factor.…”
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Results of geographically weighted logistic regression (GWLR) models: Factors with a significant odds ratio (OR) at the 95% significance level in each of the two datasets.
Published 2025“…<p>Results of geographically weighted logistic regression (GWLR) models: Factors with a significant odds ratio (OR) at the 95% significance level in each of the two datasets.…”
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