Differences of relevant gene expression, protein expression/phosphorylation, caspase activity, apoptotic cells, cell migration, and BrdU incorporation between control and BMPR2 siRNA transfected PAECs were analyzed by paired t-test. Differences between failed donor control and IPAH ECs were examined by unpaired t-test. ANOVA followed by post hoc Tukey’s honest significance test was used to analyze effects of BMPR2, JNK1 or CAV1 silencing and/or the efficacy of pathway inhibitors in PAEC apoptosis, proliferation, migration, gene expression and protein phosphorylation assays. Dose–responses across multiple conditions and donors were subjected to linear mixed models with random subject effects to account for the correlation within each donor. Log-transformation was applied when necessary. Two tailed p < 0.05 was accepted as significant. All statistical analyses were performed using JMP® software version 16.1.0 (SAS Institute Inc., Cary, NC, USA). Detailed sample sizes are described in the figure legends.
Jmp software version 16
Manufactured by SAS Institute
Sourced in United States, Japan
JMP software version 16 is a data analysis and visualization tool developed by SAS Institute. It provides advanced statistical capabilities for exploring, analyzing, and presenting data. The software offers a range of features for data management, modeling, and reporting.
Automatically generated - may contain errors
41 protocols using jmp software version 16
1
Molecular Mechanisms in IPAH Pathogenesis
2
Evaluating Stroke Diagnosis Imaging Techniques
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Descriptive statistics are presented as means with standard deviation for normally distributed variables, medians with interquartile ranges for non-normally distributed variables, and numbers of cases (and percentages) per group for categorical variables. The inter-reader agreement of qualitative evaluation among reviewers was analyzed with Cohen’s κ: κ values of 0.01–0.20 indicated slight agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, good agreement; and 0.81–1.00, excellent agreement. Patients’ demographics between the two groups were assessed using Fisher’s exact tests and Wilcoxon signed-rank tests. Sensitivity and specificity with Clopper-Pearson confidence intervals were calculated for detecting MCA occlusion by 5-mm averaged and MIP images. The diagnostic performance of both image datasets was statistically evaluated using the McNemar’s test. To compare CT values among subjects, the CT values were normalized by obtaining a ratio on the affected and unaffected sides, and the normalized CT values were analyzed using the receiver operating characteristic (ROC) curve. The analyses were performed using JMP software version 16.1.0 (SAS Institute Inc. Cary, NC, USA) and Microsoft Excel version 2019 (Microsoft Corporation, Redmond, WA, USA). The p-value of < 0.05 indicated statistical significance.
3
Statistical Analyses of Group Differences
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Statistical analyses were completed using JMP software version 16.1.0 (SAS Institute Inc, Cary, North Carolina). Group differences were analyzed using the χ2 test for independence and Wilcoxon tests as indicated. P values less than .05 were deemed statistically significant.
4
Statistical Analysis of Rotational Laxity in TKA
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Statistical analyses were performed using JMP software version 16.0.0 (SAS Institute, Tokyo, Japan). The Mann–Whitney U test and Fisher’s exact test were performed to compare groups S and A, whereas the Wilcoxon signed-rank test was performed for pre- versus post-operative comparisons, respectively. In all studies, a probability level of 95% (p < 0.05) was considered statistically significant.
Statistical analyses for ICCs were performed using IBM SPSS version 23 (IBM Corp., Armonk, NY, USA). An ICC > 0.81 was considered to be indicative of an almost perfect correlation. The sample size was calculated using Power and Sample Size Calculations software version 3.1.2 (Vanderbilt University, Nashville, TN, USA). After measuring the rotational laxity in the first 10 patients, the mean and standard deviation of the pre- and post-operative TKA data were calculated. To achieve a correlation of δ = 3 and σ = 5 with 80% power and α = 0.05, we determined that a minimum sample size of 39 knees would be required. To compensate for the small sample size, 63 knees were assessed.
Statistical analyses for ICCs were performed using IBM SPSS version 23 (IBM Corp., Armonk, NY, USA). An ICC > 0.81 was considered to be indicative of an almost perfect correlation. The sample size was calculated using Power and Sample Size Calculations software version 3.1.2 (Vanderbilt University, Nashville, TN, USA). After measuring the rotational laxity in the first 10 patients, the mean and standard deviation of the pre- and post-operative TKA data were calculated. To achieve a correlation of δ = 3 and σ = 5 with 80% power and α = 0.05, we determined that a minimum sample size of 39 knees would be required. To compensate for the small sample size, 63 knees were assessed.
5
Statistical Analysis of Continuous Variables
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Continuous variables were expressed as mean ± standard deviation (S.D.) and compared using Student’s t-test. A P value < 0.05 denoted the presence of a statistically significant difference. Statistical analysis was performed using JMP software version 16.0.0 (SAS Institute Inc., NC, USA).
6
Genotype-Dependent Pharmacokinetic Analyses
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Associations between genotypes or diplotypes and AUC values were analyzed using the Wilcoxon or Kruskal–Wallis test. Because these analyses were exploratory, criterion of statistical significance was not set. All analyses were performed using the JMP software, version 16.0.0 (SAS Institute, Cary, NC, USA).
7
CPAP Therapy Effects on BP in Sleep Stages
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The primary outcome in this study was changes in BP after CPAP therapy in REM and non-REM sleep. The required sample size was estimated to be 32 (α = 0.05, power = 80%) to 42 (α = 0.05, power = 90%) individuals [23 (link)]. All statistical analyses were performed using JMP software version 16.0.0 (SAS Institute Japan, Tokyo, Japan). Continuous variables are expressed as means ± standard deviation, whereas categorical variables are presented as numbers or percentages. To compare differences in pre- and post-CPAP conditions with respect to demographic, polysomnographic, and PTT parameters, paired t-tests and Wilcoxon rank-sum tests were conducted for continuous variables. For univariate regression analysis, we estimated Spearman’s rank or Pearson’s correlation coefficients. All comparisons were two-tailed, and a p-value < 0.05 was considered statistically significant.
8
Bed Rest Effects on Vascular Function
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Quantitative data are expressed as mean ± SD or number (%). Skewed data (AIx) are expressed as median [interquartile range] and were log-transformed for statistical analysis. A paired t-test was used to compare the measurements before and after bed rest. Linear correlation analysis was used to evaluate the associations of INTPR, INTXPR, fP, bP, cf-PWV and TAC with systemic haemodynamics parameters. A multivariate analysis was performed to evaluate the independent determinants of INTPR, INTXPR, fP, bP. All analyses were adjusted for study phase, age and anthropometric data. Statistical analysis was performed by JMP software, version 16.0.0 (SAS Institute Inc., Cary, North Carolina, United States), and statistical significance was set at a value of <0.05.
9
Survival Analysis of Cardiac Events
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All statistical analyses were performed using SPSS software version 18 (SPSS Inc., Chicago, IL, US) or JMP software version 16 (SAS Institute Inc., Cary, NC, US). Continuous variables are expressed as median (interquartile range). Parametric variables were compared using the Student’s t test, and nonparametric variables were compared using the Mann-Whitney U test. Categorical variables are expressed as number (%) and were compared using Pearson’s χ2 test or Fisher’s exact test. Survival curves were generated using the Kaplan-Meier method. The cardiac event-free rates were compared between the groups using the log-rank test. There were no missing data among the patients included in this study. p values of <0.05 were considered statistically significant.
10
Statistical Analysis of Experimental Groups
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All statistical analyses were conducted using JMP software version 16 (SAS Institute Inc., Cary, NC, USA). The differences among multiple groups were analyzed using a one-way ANOVA, followed by Tukey’s method for post-hoc comparisons. Differences with p < 0.05 were considered statistically significant.
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