Search alternatives:
significant variable » significant variables (Expand Search), significant variants (Expand Search), significant variation (Expand Search)
variable regression » multivariable regression (Expand Search), variable region (Expand Search), univariate regression (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant variable » significant variables (Expand Search), significant variants (Expand Search), significant variation (Expand Search)
variable regression » multivariable regression (Expand Search), variable region (Expand Search), univariate regression (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Multivariable linear regression model with ALMI as the dependent variable for the factors showing significance.
Published 2021“…<p>Multivariable linear regression model with ALMI as the dependent variable for the factors showing significance.…”
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Measurement of dependent variables.
Published 2024“…Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. …”
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Multivariate logistic regression of significant background and mediating variables-Final Model (weighted).
Published 2024“…<p>Multivariate logistic regression of significant background and mediating variables-Final Model (weighted).…”
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Significant independent variables revealed by maximum likelihood method for logistic regression equation.
Published 2021“…<p>Significant independent variables revealed by maximum likelihood method for logistic regression equation.…”
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Hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).
Published 2020“…<p>Hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).…”
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Hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).
Published 2020“…<p>Hierarchical regression analysis with total causal score as dependent variable (significant predictors in bold).…”
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LSPC treatment decreases neuropathology in prion-infected mice.
Published 2019“…<p>Immunohistochemistry (IHC) of brain sections through the (A) cerebellum and (B) hippocampus in infected and uninfected mice reveal that (A) while we observed no difference in cerebellar PrP<sup>Res</sup> accumulation among infected untreated, non-responder or responder mice, both GFAP stain intensity, a measure of astrogliosis, and vacuolation, a hallmark of prion-mediated neurodegeneration, were significantly decreased in LSPC responder mice. …”
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