Estimated coefficients based on the selected model in Table 3. by Luis Alberiko Gil-Alana (14659817)

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

Summary results of linear-mixed effects regression models fitted to EIVS (P-values are marked with the symbol* for significant effects). by Shanshan Yang (423383)

Changes in AL (A) and SE (B) according to the treatment time estimation curve in patients given 0.125% atropine. by Zi-Rong Chen (9227618)

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Flow diagram of the patient selection into the final analysis. by Zi-Rong Chen (9227618)

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Patients’ demographics and clinical parameters. by Zi-Rong Chen (9227618)

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Associations between demographic variables, In4_SED and SE changes at 6 and 12 months after 4_SED (<i><i>n</i></i> = 80). by Zi-Rong Chen (9227618)

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Table 2 - Early identification of the efficacy of 0.125% atropine treatment for children with Myopia: A prospective pilot study by Zi-Rong Chen (9227618)

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Trends of incident opioid users, L-TOT users, and L-TOT discontinuers between 2009 and 2013. by Qian Cai (112039)

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The yearly numerator, denominator and rate of incident opioid users, L-TOT users and L-TOT discontinuers from 2009 to 2019. by Qian Cai (112039)

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Incidence rate ratios of negative binominal regression models for yearly rates of incident opioid users, L-TOT users and L-TOT discontinuers during 2009–2013 and 2015–2019. by Qian Cai (112039)

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Demographic, comorbidity, concurrent drug, and opioid characteristics, among L-TOT users and L-TOT discontinuers between 2009–2019. by Qian Cai (112039)

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Hierarchical linear model results table. by Ting Qin (1931218)

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Linear regressions of the distance between buoys (km) and the Pearson correlation coefficient for each pairwise buoy combination for 2021 (blue) and 2022 (gray). by Claire Stevens (11127729)

Increasing number of input parties. by Marius de Arruda Botelho (22615280)

Increasing number of input samples. by Marius de Arruda Botelho (22615280)

Table 1_The expression of glycolysis-related proteins in urine significantly increases after running.docx by Tian Zhao (341370)

“…The concentrations of the urine proteins TPI1, ENO1 and LDHB showed a significant linear relationship with PKM. ROC curve analysis showed that PKM, TPI1, ENO1 and LDHB proteins in urine had good monitoring values for running training.…”

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

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Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

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Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

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