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Jmp pro ver 15

Manufactured by SAS Institute
Sourced in United States

JMP Pro ver.15 is a statistical discovery software designed for data analysis and visualization. It provides a range of statistical tools and modeling techniques to help users explore, analyze, and gain insights from their data.

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Lab products found in correlation

5 protocols using jmp pro ver 15

1

Recurrence Patterns in Locally Advanced Rectal Cancer

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In this study, disease recurrence after surgery was classified into three categories: “local-only,” “distant-only,” and “simultaneous.” Local recurrence was defined as intrapelvic recurrence detected using imaging modalities, including LPLN recurrence and anastomotic recurrence. Distant metastasis was defined as disease recurrence that had spread to remote organs (e.g., the lung, liver, peritoneum, and remote lymph nodes). Only the first disease recurrence in each LARC patient was assessed. Recurrence-free survival (RFS), overall survival (OS), and cumulative incidence of recurrence were plotted using the Kaplan-Meier method. The OS was measured from date of surgery to death. The cumulative incidence of recurrence was assessed in the patients with disease recurrence. Surgically resectable recurrence was defined as a lesion resected with curative-intent, regardless of the use of systemic chemotherapy and/or radiotherapy prior to resection. Best supportive care and/or systemic palliative chemotherapy following disease recurrence was defined as an “unresectable case.” Fisher’s exact test and log-rank tests were used to assess statistical significance (P<0.05) for categorical and survival data, respectively. All statistical analyses were performed by RO using JMP Pro ver.15 (SAS Institute, Cary, NC, USA).
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2

Assessing Knee Infrapatellar Fat Pad Changes

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All continuous variables were checked for normality with the Kolmogorov–Smirnov test. Age, height, weight, BMI, NRS, IFP thickness value, and change in IFP thickness were compared using the t-test or the Mann–Whitney U test. Fisher’s exact test was used for sex comparisons between the AKP and control groups. In addition, Spearman’s rank correlation coefficient was used to examine the correlation between the change in IFP thickness and the NRS score on the reconstructed knee. Quantitative variables are expressed as means ± standard deviations and qualitative variables as frequencies. JMP® Pro Ver. 15 (SAS) was used for all analyses, and the significance level was set at < 5%.
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3

Urinary Zinc Levels in Equol Producers

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Values under the detection limits were recorded as half of the detection limit. The urinary concentrations were normalized to urinary creatinine amounts (g-Cr). To enable a statistical analysis comparison, the urinary concentrations were transformed into common logarithmic values because the distributions were not normal. EQPs were defined according to the criteria proposed by Ideno et al. [18 (link)]: log(equol/daidzein) ≥ −1.42 indicates EQP status, and log(equol/daidzein) < −1.42 indicates non-EQP status.
Urinary zinc concentrations between EQP and non-EQP were compared by Student’s t-test. To adjust the potential confounders (age, BMI, etc.), we conducted multivariable regression analyses. Records with missing values were excluded from the main analyses while the missing values (smoking: 19, menstrual status: 13) were processed by single imputation methods (mode imputations) as additional analyses. JMP Pro (ver. 15; SAS Institute, Cary, NC) was used to perform these calculations. The alpha level for all tests was 0.05.
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4

Sesame Genotype Phenotypic Analysis

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The JMP® Pro ver. 15 statistical package (SAS Institute, Cary, NC, USA) was used for all statistical analyses. Bartlett’s test was used to examine the homogeneity of variance among treatments. All phenotypic variables were tested for normal distribution. Differences between sesame genotypes in quantitative traits were tested using Tukey-HSD. Pearson’s correlation coefficients were used to assess associations between the measured phenotypic traits. Comparison between the two parental lines was analyzed using Student’s t-test.
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5

Prognostic Impact of CAVI in Heart Failure

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Continuous variables are expressed as the mean±SD or median and interquartile range (IQR) depending on their distribution and were compared between groups using unpaired t-tests or the Mann-Whitney U test, as appropriate. Categorical variables are expressed as numbers and percentages and were compared between the 2 groups using Chi-squared test. Multivariable Cox proportional hazard ratio models were used to assess the impact of CAVI values on heart failure hospitalizations. Variables with P<0.05 in univariable analyses were included in the multivariable analysis. Survival curves were derived using the Kaplan-Meier method and compared by the log-rank test. Two-sided P<0.05 was considered statistically significant. Statistical analyses were performed using JMP pro ver15 (SAS Institute Japan, Tokyo, Japan).
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