Search alternatives:
significant variables » significant variations (Expand Search), significant variation (Expand Search)
variables using » variables used (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant variables » significant variations (Expand Search), significant variation (Expand Search)
variables using » variables used (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Definitions of variables.
Published 2023“…Using a panel of publicly listed Chinese firms covering 2009–2019, it documents a U-shaped effect of government officials’ tenure on the CSR performance of firms within their jurisdiction. …”
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Descriptive statistics of the selected variables.
Published 2024“…Moreover, the results obtained from IRFs have shown a significant effect of water efficiency on FIMI. …”
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Bioclimatic variables used in the study.
Published 2025“…<div><p>Climate change has emerged as a significant driver of biodiversity loss, with profound implications for species distribution. …”
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Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5.
Published 2023“…<p>Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5.…”
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Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1.
Published 2023“…<p>Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1.…”
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Descriptive statistics of variables.
Published 2025“…Using the newly released 2020 China Health and Retirement Longitudinal Study (CHARLS) data for a total of 1,510 study participants, this paper analyzes the impact of social support on the health of elderly men using the Oder Probit, OLogit, and PSM models, and then explores the variability across age stages and literacy levels, and eliminates the propensity score matching modeling by endogeneity problems caused by sample selectivity bias. …”
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Coefficients of the statistically significant variables for the three models fitted to the data using the MLR method.
Published 2023“…<p>Coefficients of the statistically significant variables for the three models fitted to the data using the MLR method.…”
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Significant variables in sensitivity analyses for treatment delays using different cut-off points.
Published 2022“…<p>Significant variables in sensitivity analyses for treatment delays using different cut-off points.…”
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Independent contributions of significant variables for pre-2000 and post-2000 using hierarchical partitioning.
Published 2019“…<p>Independent contributions of significant variables for pre-2000 and post-2000 using hierarchical partitioning.…”
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