Continuous variables are shown as the mean ± standard deviation (SD), and categorical variables are shown as frequencies and percentages. Continuous variables were compared by Wilcoxon's test. Categorical variables were compared by the chi-square test or Fisher's exact test. Correlations between SPECT and ECG variables in anterior and inferior MIs were assessed by Spearman's rank correlation coefficient (ρ). Differences were considered significant if the p value was <0.05. Statistical analysis was conducted using JMP 11 software program (SAS Institute, Tokyo, Japan).
Jmp 11 software program
Manufactured by SAS Institute
Sourced in Japan
JMP 11 is a data analysis software program developed by SAS Institute. It provides statistical analysis, data visualization, and modeling capabilities to users. The core function of JMP 11 is to enable data exploration, discovery, and decision-making through interactive and intuitive tools.
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Lab products found in correlation
7 protocols using jmp 11 software program
1
Comparative Analysis of SPECT and ECG in Myocardial Infarction
2
Prognostic Survival Analysis of Disease
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Correlations between the two groups were examined using chi-squared tests (or Fisher’s exact tests when necessary). Analysis of prognosis, such as disease free survival (DFS) or overall survival (OS), was carried out using the Kaplan-Meier method and log-rank tests. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using the Cox proportional hazards model, and multivariable analysis was analyzed in the Cox regression model. Statistical significance was assumed when the p values were less than 0.05. The JMP 11 software program (SAS, Tokyo, Japan) was used to analyze the data.
3
Statistical Analysis of Survival Outcomes
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The JMP 11 software program (SAS Institute, Cary, NC, USA) was used to analyze the data. Differences between groups were analyzed using the χ2 test and the Wilcoxon signed rank test. The duration of survival was calculated according to the Kaplan-Meier method and differences in the survival curves were assessed using the log-rank test. The correlation between two variables was assessed using Spearman’s test. A multivariate analysis of the clinicopathological factors correlated with survival was performed using a Cox proportional hazards model. P values of <0.05 were considered to indicate statistical significance. Factors with a P value of < 0.1 on the univariate analyses were included in the multivariate analysis.
4
Postoperative Quality of Recovery
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The demographic and perioperative data are presented as medians (25th, 75th percentiles), box and whisker plots, or numbers (%), as appropriate. We used the preoperative scores as the baseline health status for the QoR-40, and compared these with the QoR-40 on POD1, 3, 6, and at 1 month. Since the original data of QoR-40 scores were not normally distributed and clearly had a negative skewness, the scores at each point were compared using the Dunn test for nonparametric multiple comparisons. Various factors affected the QoR-40 scores on POD1 compared to the baseline, and these were examined using Wilcoxon’s signed-ranks test. All statistical analyses were performed using the JMP11 software program (SAS institute Japan LTD., Tokyo, Japan). A value of P < 0.05 was considered to be significant.
5
Evaluating QRS-T Angle in Narrow QRS and BBB
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Continuous variables are shown as mean ± SD, and categorical variables are shown as frequencies and percentages. Continuous variables between groups were compared by the Mann-Whitney U test. Categorical variables were compared by the chi-square test. The correlation between the QRS-T angle in the settings of narrow QRS and BBB was assessed using Pearson's correlation coefficient. The accuracy of the QRS-T angle in the setting of BBB was tested using a Bland-Altman analysis with comparison to the QRS-T angle in the setting of narrow QRS.
Differences were considered significant if the p value was <0.05. Statistical analyses were conducted using the JMP 11 software program (SAS Institute, Tokyo, Japan).
Differences were considered significant if the p value was <0.05. Statistical analyses were conducted using the JMP 11 software program (SAS Institute, Tokyo, Japan).
6
Liver Transplant Survival Rates
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All data are expressed as the mean with standard deviation or median values with ranges. The statistical analysis was performed using the Mann-Whitney U test for continuous values and the χ2 test for categorical values. Patient survival rates were calculated using the Kaplan-Meier method and were compared using the log-rank test. Risk ratios are expressed as hazard ratios with confidence intervals (CI). The MELD score was not included among the variables for the multivariate analysis because MRRT is one of the factors in MELD score. Statistical significance was defined as a P value less than 0.05. The statistical analyses were performed with the JMP 11 software program (SAS Institute Inc., Cary, NC).
7
Statistical Analysis of Major PMI
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Continuous variables are shown as the mean ± SD, and categorical variables are presented as frequencies and percentages. Continuous variables were compared using Student's t-test or the Mann-Whitney U-test. Categorical variables were compared using the chi-square test or Fisher's exact test. Univariate and multivariate logistic regression analyses were performed to evaluate the relation between major PMI and other variables. Differences were considered to be significant if the p value was <0.05. Statistical analysis was conducted using the JMP 11 software program (SAS Institute, Tokyo, Japan).
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