Search alternatives:
means decrease » mean decrease (Expand Search), deaths decreased (Expand Search)
ns decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 ng » 50 mg (Expand Search), 10 ng (Expand Search), 5 ng (Expand Search)
means decrease » mean decrease (Expand Search), deaths decreased (Expand Search)
ns decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
50 ng » 50 mg (Expand Search), 10 ng (Expand Search), 5 ng (Expand Search)
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Variable importance plot (mean decrease accuracy and mean decrease Gini).
Published 2020“…The higher the value of mean decrease accuracy or mean decrease Gini score, the higher the importance of the variable in the model.…”
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Comparison of mean differences in temperature decreases.
Published 2022“…<p>Patients are grouped according to receiving either dipyrone (blue; n = 341) or acetaminophen (red; n = 71) versus patients receiving no antipyretic treatment (n = 315). Graphs display mean differences in temperature decreases between each two comparators (no medication versus dipyrone, no medication versus acetaminophen and dipyrone versus acetaminophen) with their respective 95% confidence intervals. …”
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Exposure to low CO<sub>2</sub> levels decreases ER cholesterol levels.
Published 2023“…<b>(F)</b> qPCR analysis for cholesterogenic genes from NIH3T3 cells exposed to cholesterol (50 μm) or 25-hydroxycholesterol (10 μm) under 5% or 1% CO<sub>2</sub> for 4 h (mean ± SE, <i>n</i> = 3 biological replicates per condition, ***<i>P</i> < 0.001, nonsignificant (ns), two-way ANOVA with Bonferroni’s multiple comparisons test). …”