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)

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

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Significant condition. by Junxia Zhou (14381598)

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

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

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Species richness decreases significantly with increasing percent disturbance. by Catherine L. Cardelús (6429320)

The size effects for each variable as the coefficient decrease to zero with increasing lambda. by Chulyoung Cho (18397361)

Individual tumour size developments. by Philine Steinbach (17847521)

Average effect size decreased as sample size increased for all types of analyses (<i>p</i> < .001). by Luke J. Ney (12621627)

The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

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. …”

Comparison of the Non-healed but Improved DUs Based on Initial Wound Area Size in 2022 vs. 2023. by Heba Tallah Mohammed (2822432)

Comparison of the Non-healed but Improved PIs Based on Initial Wound Area Size in 2022 vs. 2023. by Heba Tallah Mohammed (2822432)

potential group size calculations based on earlier findings. by Haris Omić (21175546)

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

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. by Emir Matpan (21655811)

“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.…”

Correlation between yield, soil properties and nutrient content: (a) shows the significant positive correlation between rice yield and soil properties; (b) shows the significant po... by Salwinder Singh Dhaliwal (10009480)

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Soil particle size distribution. by Pengcheng Wang (400334)

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The blockage from myostatin resulted in an increased myocyte size in the RCDma and RCDmi muscles. by Chan Li (433717)

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)

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