Data with normal distribution were expressed as mean ± SD while those with skewed distribution were expressed as median and interquartile values. The Wilcoxon rank-sum test was used for comparison of the two groups, Spearman's rank correlation coefficient was used to examine correlations between two variables, and a p value of <0.05 denoted the presence of statistical significance. The UACR values were logarithmically transformed (as ACR log) before analysis. Any statistical bias in terms of patient characteristics was minimized by ensuring that patient sex, age, UACR, urinary podocyte count, eGFR, blood pressure, HbA1c, and BMI were subjected to a tendency analysis using propensity score matching. The final analyses were conducted on data of 82 participants, including 41 from the conventional method group and 41 from the modified method group (Table 1 ). JMP Ver. 11.0.0 (SAS Institute Japan, Tokyo) was used in all statistical analyses.
Jmp ver 11
Manufactured by SAS Institute
Sourced in United States, Japan
JMP ver.11 is a data analysis software developed by SAS Institute. It provides tools for data exploration, visualization, and statistical analysis. The software is designed to help users gain insights from their data.
Automatically generated - may contain errors
24 protocols using jmp ver 11
1
Optimized Urinary Biomarker Quantification
2
Exercise and Medication Effects on HbA1c
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The 187 patients who completed their 6-month follow-up were the subjects of the analysis (Figure 3 ). The pedometer and activity monitor data were compared, as well as changes in medications. Concerning continuation of exercise and achievement of targets, the analysis defined those with at least 80% of day count data and at least 80% of target exercise amounts as meeting the goals.
The HbA1c levels at the beginning of the study and at 2 and 6 months later were compared as main items by performing responsive examination. The Pearson chi-square test or Mann-Whitney U test was used for comparison of variables between the two groups, and the significance level was set at 5%. The statistical analysis software used was JMP Ver. 11.0.0 (SAS Institute Japan, Tokyo).
The HbA1c levels at the beginning of the study and at 2 and 6 months later were compared as main items by performing responsive examination. The Pearson chi-square test or Mann-Whitney U test was used for comparison of variables between the two groups, and the significance level was set at 5%. The statistical analysis software used was JMP Ver. 11.0.0 (SAS Institute Japan, Tokyo).
3
Robust Statistical Analysis of Diverse Data
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The sample size was limited, and the normality of the data could not be established; therefore, continuous variables were presented as median values with interquartile ranges. We employed statistical analysis software JMP Ver.11.0.0 (SAS Institute, USA) for our analysis. In comparing two groups, Fisher’s exact test was employed for categorical variables, while the Wilcoxon rank sum test was used for continuous variables, with a significance threshold set at p<0.05 to denote statistical significance.
4
Scoliosis Outcomes Evaluation Protocol
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We evaluated clinical outcomes based on the Japanese edition of the Scoliosis Research Society 22-item outcomes metric (SRS-22) and the physical and mental component summary scores (PCS and MCS, respectively) on the 36-item Short-Form Health Survey (SF-36) preoperatively and at the final follow-up. All data were statistically analyzed using analysis of variance, Wilcoxon signed-rank test or a paired or unpaired t-test, as appropriate (JMP ver. 11.0; SAS Institute Inc., Cary, NC, USA). The level of significance for all tests was defined as p<0.05. This research was approved by the institutional review board of the authors’ affiliated institution (IRB approval no., 1801102), and informed consent was obtained from all individual participants included in the study.
5
Validating VAL-MAP Contribution across Tumor Characteristics
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If appropriate, data were compared between Kyoto University (KU), the original institution that developed VAL-MAP, and the other multiple centres (MC). As described previously [12 (link)], the relationship between the grade of the contribution of VAL-MAP to the operation and the type of operation or tumour characteristics (size, depth, CT characteristics and palpability during operation) was examined using Pearson’s chi-squared test. In cases where multiple resections were performed or multiple tumours were resected, the most representative operation type and tumour were used for analysis. With respect to tumour characteristics, tumour size was categorized as ≤ 5, >5–10 and >10 mm; tumour depth (distance from the closest visceral pleura) was categorized as ≤ 10 and >10 mm; CT appearance of the tumour was categorized as pure ground glass nodule (GGN), mixed GGN (GGN with solid component), solid nodule and others. Data are expressed as the mean ± SD as appropriate. Statistical analysis was conducted using commercial software (JMP ver 11.0®; SAS Institute, Cary, NC, USA).
6
Comparative Analysis of Biomarkers
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Results are presented as mean value ± standard deviation. Multiple comparisons were performed by one-way analysis of variance (ANOVA) followed by Tukey HSD post hoc at a probability level of 5% (P < 0.05). Pairwise comparisons were done by using Student’s t-test at a probability level of 5% (P < 0.05). The JMP® (ver.11.0) statistical package (SAS Institute) was used for statistical analyses.
7
Statistical Analysis of Categorical and Continuous Variables
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Statistical analyses were performed using JAMAevidence® and JMP ver.11.2.0 statistical software (SAS Institute Japan Ltd., Tokyo, Japan). A Fisher’s exact test was used to assess the categorical variables, and a Mann-Whitney U test was used to analyze the continuous variables. Multivariate analysis was performed by a logistic regression test. A value of P < 0.05 was considered statistically significant.
8
Analyzing Continuous Variables Using Welch's t-test
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Results are expressed as mean±standard deviation (S.D.) In a study on the method of preparation, Welch's t-test was used for comparing continuous variables. Differences between groups were evaluated using non-repeated measure ANOVA followed by Dunnett's test. Statistical significance was defined as p<0.05. All statistical analyses were carried out using JMP ® ver.11.20 (SAS Institute Inc., Cary, NC, U.S.A.).
9
Evaluating MAOs in Clinical Cohort
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Data are presented as median value and interquartile range (IQR). Between-group differences were assessed using the Chi-squared test or Fisher’s exact probability test, as appropriate. The cumulative rate of MAOs was calculated using the Kaplan-Meier method, and between-group differences were assessed using the log-rank test. To identify factors affecting primary outcome, we also performed multivariate analyses using Cox proportional hazards model with clinical characteristics and serum biomarkers as covariates. The JMP Ver. 11 software (SAS Institute Inc., Cary, NC, USA) was used to perform all statistical analyses. P values less than 0.05 were considered indicative of statistically significant difference.
10
Comparative Analysis of eGFR and Albuminuria
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Data were analyzed on the basis of assigned groups and are expressed as the mean ± SD or median [interquartile range], as appropriate. Continuous variables were compared using Student's t-test or the Mann-Whitney U test, and categorical variables were compared by the chi-square or Fisher's exact test as appropriate to the data distribution. To analyze the time course changes in eGFR, we fitted scatterplot smoothing curves to all the eGFR measures for all the patients in each group. Then, we used the Mann-Whitney U test to compare the eGFR decline (mL/min/1.73 m2 per year) between the groups. The eGFR time course data within groups were analyzed by repeated-measures analysis of variance (ANOVA), while changes between the two groups were analyzed by two-way ANOVA followed by Dunnett's test. To analyze the time course changes in albuminuria, we fitted scatterplot smoothing curves to all UACR measures for all the patients in each group. Then, we used the Mann-Whitney U test to compare the regression coefficients between the groups. Statistical significance was set at P < 0.05. All analyses were performed using JMP ver. 11 software (SAS Institute Ltd., Cary, NC, USA).
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