Patient demographics, in addition to their operative and financial variables, were represented as means or medians as necessary. Student's t-test and chi-square test were performed for univariate analysis. Variables, having a p value < 0.2 in univariate analysis, were included in all multivariate models. A p value < 0.05 was defined as statistically significant. The analysis was conducted by using JMP Pro Version 10.0.0 (SAS Institute Incorporated, Cary, North Carolina, USA, 2012).
Jmp pro version 10
Manufactured by SAS Institute
Sourced in United States, Cameroon
JMP Pro version 10.0 is a statistical discovery software that provides advanced analytics and data visualization capabilities. It offers a range of tools for data exploration, modeling, and optimization to support decision-making processes.
Automatically generated - may contain errors
Lab products found in correlation
Sas version 9, by SAS Institute (4 mentions)
Tri reagent, by Thermo Fisher Scientific (1 mentions)
Taqman mrna assay primers, by Thermo Fisher Scientific (1 mentions)
Taqman fastadvance pcr master mix, by Thermo Fisher Scientific (1 mentions)
Taqman high capacity cdna reverse transcription kit, by Thermo Fisher Scientific (1 mentions)
7900ht fast real time pcr system, by Thermo Fisher Scientific (1 mentions)
Spss version 23, by IBM (1 mentions)
R version 4, by R Project for Statistical Computing (1 mentions)
28 protocols using jmp pro version 10
1
Comparative Analysis of Patient Factors
2
Twitter Influence Analysis of Scientific Topics
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We performed content analyses using NOD Analytics (goo.gl/mfziXG). We used WordItOut (worditout.com) to graphically represent the popular scientific topics in each Twitter channel. We calculated frequencies per category for: 1) number of Twitter accounts that authored tweets, 2) number of Twitter accounts that were mentioned within a tweet, 3) number of tweets composed. We performed chi-square tests to compare these data using JMP Pro version 10.0.0 (SAS, Cary, North Carolina). We calculated PageRank using the NodeXL plugin (nodexl.codeplex.com) for Microsoft Excel 2013 (Microsoft, Redmond, Washington). Median and interquartile ranges for the PageRank were calculated and compared using the Kruskal-Wallis test. Each group needed to have at least 8671 @mentions in order to have achieved an 80% power to detect a 0.2 difference in PageRank. To mitigate any future concern about the lack of reproducibility of our results, we 1) did not perform subgroup analyses of Twitter influence by conference and 2) followed recent guidelines that make “classical hypothesis testing more congruent with evidence thresholds for Bayesian tests” [43 ]. As a result, the significance level was set at p < 0.005 [43 ].
This investigation conforms to STROBE guidelines for observational research and SAMPL guidelines for statistical reporting [44 ,45 ].
This investigation conforms to STROBE guidelines for observational research and SAMPL guidelines for statistical reporting [44 ,45 ].
3
Epidemiology of Native Kidney Biopsies
4
Tumor-Infiltrating Neutrophils and Prognosis
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We used the statistical software JMP ®Pro version 10.0.2 (©2012 SAS Institute Inc., Cary, CA, USA) for data analysis. All continuous variables did not show normal distribution, and therefore Wilcoxon rank-sum test was used to compare differences between continuous variables between low and high TIN density groups. Pearson’s chi-square test and Fisher’s test (used when frequency was under 5) was used in analyzing differences of categorical variables between low and high TIN density groups in Table 2 and Table 3 . Log-rank test was performed to analyze the statistical difference of cancer-specific and overall survival in low and high density groups. Multiple regression model was used to identify associated factors of cancer specific and overall survival. Variables that were significantly associated in univariate survival analysis were included in the multivariate analysis. Since the hypothesis ‘high TIN density increases the risk of cancer specific and overall mortality’ was considered unilateral, P value of < 0.025 was considered to be statistically significant in analysis regarding survival and multiple regression models. P value < 0.05 was considered to be statistically significant in statistical analysis evaluating association between other variables.
5
Predictors of Cavity Formation in Acute Infarcts
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Values are presented as median and interquartile range (IQR) for continuous and ordered variables, frequency and percentages for categorical variables. Baseline and follow-up infarct volumes and diameters were compared using paired t-test. Other values were compared using Mann-Whitney’s U test for continuous and ordered variables and Fisher’s exact test for categorical variables. Continuous and ordered variables of baseline characteristics were divided into tertiles and then the Cochran–Armitage test for trend was used to assess trends in the incidence of cavity formation. We performed a multivariate analysis with logistic regression to determine independent predictors of cavity formation with age, hypertension, and baseline infarct volume. All analyses were performed using JMP Pro Version 10.0.2 (SAS Institute Inc., Cary, NC, USA).
6
Oral Cancer Prognostic Factors
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Associations between HuR and podoplanin expression and the clinicopathological variables were assessed using the Wilcoxon rank-sum test for continuously distributed variables and the χ2 test for categorical variables. The Kaplan-Meier survival analysis was used to investigate the associations with oral cancer-free survival (OCFS) time, which is the time interval between the histopathological diagnosis and the development of OSCC. Patients that did not develop invasive OSCC were censored at the final date of follow-up. The log-rank test was used to compare survival times among patients with different characteristics. The Cox proportional hazards regression model was applied to evaluate the hazard ratio (HR) for the malignant transformation of OPLs. HRs with a 95% confidence interval (CI) and the P-values were reported. All tests were two sided, and P-values of <0.05 were considered to indicate a statistically significant difference. The JMP® Pro version 10.0.2 (SAS Institute Inc., Cary, NC, USA) was used for statistical analysis.
7
Prognostic Markers for Oral Cancer
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The associations between protein (ALDH1 and podoplanin) expression and clinicopathological variables were assessed using the Wilcoxon rank-sum test for continuously distributed variables and the χ2 test for categorical variables. Kaplan-Meier survival analysis was used to estimate the events of interest for oral cancer-free survival (OCFS) and the time interval from histopathological diagnosis to the development of oral squamous cell carcinoma (OSCC). Patients who did not develop invasive OSCC were censored at their last date of follow-up. The log-rank test was used to compare survival times among patients with different characteristics. The Cox regression model was applied to evaluate the hazard ratio (HR) for malignant transformation of OL. HRs with a 95% confidence interval (CI) and P-values were reported. The likelihood ratio test was applied to evaluate the point-prevalence value (PPV). All tests were two sided, and P<0.05 was considered to indicate a statistically significant difference. JMP® Pro version 10.0.2 (SAS Institute Inc., Cary, NC, USA) was used for statistical analysis.
8
Statistical Analysis of Experimental Data
9
Quantitative Analysis of Inflammatory Cytokines
10
Quantitative Image Quality Assessment
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All statistical analyses were performed by using software JMP Pro version 10 (SAS Institute Inc., Cary, North Carolina, USA).
Data are presented as means ± standard deviations unless specified otherwise.
A Student t test was used to compare the demographic data of the two groups of patients.
The interobserver agreement between the two readers regarding subjective image quality assessment was evaluated with the Cohen κ test.
A Mann-Whitney U test was used to compare the score in image quality, the dose of iodine CM, the dose of radiation exposure, the SNR and the CNR between both groups.
A p value below 0.05 was considered statistically significant.
Data are presented as means ± standard deviations unless specified otherwise.
A Student t test was used to compare the demographic data of the two groups of patients.
The interobserver agreement between the two readers regarding subjective image quality assessment was evaluated with the Cohen κ test.
A Mann-Whitney U test was used to compare the score in image quality, the dose of iodine CM, the dose of radiation exposure, the SNR and the CNR between both groups.
A p value below 0.05 was considered statistically significant.
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