Search alternatives:
linear decrease » linear increase (Expand Search)
step decrease » sizes decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
linear decrease » linear increase (Expand Search)
step decrease » sizes decrease (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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241
DHIMS2 data quality over time.
Published 2025“…By the third coaching visit, 98% of facilities had a functional data management system (a 26-percentage-point increase from the second to third coaching visit, p < 0.0001), 77% of facilities displayed wall charts, and 63% reported using data for decision-making and local planning. …”
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S1 Data -
Published 2024“…Light microscopy was used to detect <i>Plasmodium falciparum</i> infections. A linear mixed-effects regression (LMER) model was used to assess the association between the variation of cortisol titres and prolactin levels during the pregnancy and the post-partum.…”
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243
Characteristic of study population.
Published 2024“…Light microscopy was used to detect <i>Plasmodium falciparum</i> infections. A linear mixed-effects regression (LMER) model was used to assess the association between the variation of cortisol titres and prolactin levels during the pregnancy and the post-partum.…”
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A summary of calibration standards (n = 3).
Published 2025“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”
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246
Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.
Published 2025“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.</p>…”
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