County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation... by M. S. A. Niemantsverdriet (11886431)

Significant condition. by Junxia Zhou (14381598)

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Decrease of flowrate over time during plankton filtrations due to increased biomass loading of the filters, as recorded by the Arduino flowmeter (A), and (B) DNA yields after extra... by Corentin Fournier (5088941)

Results of significance for regression factors. by Junxia Zhou (14381598)

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Group-based descriptive statistics and effect sizes. by Murat Tutar (22250461)

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<i>Trappc9</i> deficient mice show a decrease in brain weight and size. by Zhengzheng S. Liang (9333660)

“…<p><b>(A)</b><i>Trappc9</i> deficient mice show a decrease in brain weight in a parent-of-origin manner. …”

Assessment of reporting bias. by Xiaodong Jia (783460)

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Effect sizes of response bias (unstandardized <i>r</i>) for included studies. by Carolin Wolters (488319)

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The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

Sample size estimation based on preliminary date. by Jacquelyn Y. Taylor (6386456)

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Risk of bias assessment. by Delai Zheng (18468980)

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Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque mean size. by Francesca Catto (21253435)

“…However, there is only a minimal effect on decreasing plaque size. (C) Short-term-treatment with a high dose of netoglitazone reveals a significant reduction in plaque size, especially observed in the hippocampus, striatum, thalamus, hypothalamus, midbrain, and hindbrain. …”

The 11 surgery categories and corresponding sample sizes, 2002–2015. by Ning Ning (464160)

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Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

Risk of bias assessment in the non-RCTs of Wang, 2013 –ROBINS-I tool. by Luz Estella Mesa (8339283)

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Risk of bias assessment of included RCTs–Cochrane RoB tool 2.0. by Luz Estella Mesa (8339283)

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Reviewer’ judgments about each risk of bias item for each included study. by Xiaodong Jia (783460)

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Effect sizes of interoceptive accuracy (unstandardized <i>r</i>) for included studies. by Carolin Wolters (488319)

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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.... by Emir Matpan (21655811)

“…<p>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. …”