Jmp pro 17

Data were evaluated using analysis of variance (ANOVA) followed by Tukey’s HSD post hoc test for multiple comparisons. The effect size for main factors (accessions and experiments) was estimated from ANOVA by the means of omega squared (ω²) statistics. Hierarchical clustering was carried out using the average values of traits for each accession. All statistical analyses were performed with JMP Pro 17 (SAS Institute, Cary, NC, USA). Reported logworth values are -log10 transformations of p-values, so logworth of 2 is equivalent of p-value of 0.01, and logworth of approximately 1.301 is equivalent of p-value = 0.05.

Data are presented as mean ± SD and analyzed with two-tailed one-way or two-way analysis of variance followed by Dunnett’s multiple comparison post-test. Statistical significance for non-parametric continuous data was calculated using the Mann–Whitney U test for two groups. Data are presented as medians with interquartile ranges. Correlations of non-parametric data were analyzed using Spearman’s rank-order correlation test. A statistical significance level of (p-value) <0.05 was defined as statistically significant, and p-values are displayed as *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001. Data were analyzed and graphed using GraphPad Prism v9.5.1 for Mac OS X (GraphPad Software) and JMP Pro 17 (SAS Institute) software.

Data of melanin production were presented as the mean ± standard deviation. The design of the BBD matrix and the statistical analysis were performed using the JMP® Pro 17 software (JMP®, SAS Institute Inc., Cary, NC). The software was also utilized for conducting machine learning procedures, constructing the ANN topology, and implementing the training, validation, and testing procedures.

Continuous data had a normal distribution (according to the D’Agostino–Pearson normality test); results are summarized as mean and standard deviation (SD) [29 (link)]. Numbers and percentages were used for categorical variables. Pearson correlation was first used to examine the association between peak strain dispersion, myocardial work indices, isovolumetric relaxation and systolic–diastolic coupling of peak strain dispersion. These reciprocal associations were then examined using linear regression models adjusted for sex, age and LVMI. All tests were two-sided. The statistical analyses and graphs were made using JMP Pro 17 (SAS Institute Inc., Cary, NC, USA), and the statistical significance was set at p < 0.05.

Data analysis was conducted using Excel and JMP Pro 17^® (SAS Institute, Cary, NC, USA). Baseline characteristics were compared between cases and controls using descriptive statistics, as well as chi-square, Wilcoxon rank sum, and Fisher’s exact test, as appropriate. Logistic regression was performed to determine the independent association between concomitant gabapentinoids and ORO. First, unadjusted odds ratios (OR) were calculated to determine the relationship of baseline characteristics to concomitant gabapentinoids. Characteristics with a P-value of < .2 in univariate analyses were selected as covariates for logistic regression and adjusted OR were reported. A P-value of <.05 was considered statistically significant for final analyses. Missing data were excluded from analyses.

We obtained equations relating leakage flow to intravascular pressure, Pearson’s correlation coefficient, and the coefficient of determination for iodine contrast medium or CO₂ in small or large wounds. JMP Pro 17 software (SAS Institute, Tokyo, Japan) was used for the statistical analysis, with a significance level of 5%. The volume, sphere-equivalent diameter, and sphere-equivalent area of the leaked iodine or CO₂ contrast media in small and large wounds were compared using the iodine contrast medium as a control.

All data are presented as mean ± standard deviation (SD). A one-way analysis of variance (ANOVA) was used to statistically analyze parametric data among multiple groups, followed by the Tukey–Kramer post hoc test for pairwise comparisons. A p-value < 0.05 was considered statistically significant. All statistical analyses were performed using JMP Pro 17 (SAS Institute, Cary, NC, USA).