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Jmp software for windows version 13

Manufactured by SAS Institute
Sourced in United States

JMP software for Windows version 13 is a data analysis and visualization tool developed by SAS Institute. It provides a platform for exploring, analyzing, and presenting data. The software combines interactive graphics, data manipulation, and statistical modeling capabilities in a user-friendly interface.

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Lab products found in correlation

5 protocols using jmp software for windows version 13

1

Continuous Variable Comparison Analysis

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Continuous variables were expressed as the means and standard deviations or as medians
and interquartile ranges. Comparisons were performed using the Wilcoxon signed-rank test
for continuous variables. Differences with two-sided P-values <0.05
were statistically significant. JMP software for Windows version 13 (SAS Institute, Cary,
NC, USA) was used for all statistical analyses.
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2

Prognostic Value of Copeptin in AKI

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Continuous variables were expressed as the means and standard deviations or as medians and interquartile ranges, while categorical variables were presented as numbers and percentages. Comparisons were performed with Student’s t-test or the
Wilcoxon rank-sum test for continuous variables and the chi-squared test for categorical variables. Correlations between copeptin levels and variables, such as AVP, were assessed by Bland-Altman analysis, or Pearson’s correlation coefficient or Spearman’s rank correlation test. According to the median copeptin levels at ICU admission, we set the cut-off serum copeptin level as 43.7 pmol/L to discriminate high (≥43.7 pmol/L)- and low (<43.7 pmol/L)-copeptin groups. We estimated the risk of AKI in both groups at ICU admission by the logistic regression model and expressed the results as odds ratio (OR) and 95% confidence intervals (CIs). Differences with two-sided P values <0.05 were statistically significant. JMP software for Windows version 13 (SAS Institute, Cary, NC, USA) was used for all statistical analyses.
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3

Continuous Data Analysis Protocol

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Continuous data are expressed as the mean ± standard error unless otherwise indicated. A Student’s t-test was used for the comparison of continuous variables between the two groups. A linear regression analysis was performed to assess correlations between two continuous variables. P < 0.05 was considered as statistically significant. All statistics were calculated with JMP software for Windows version 13 (SAS Institute, Cary, NC, USA).
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4

Statistical Analysis of Continuous and Categorical Data

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We expressed data as mean ± SD for continuous variables and as frequencies or percentages for categorical variables. We used Mann‐Whitney U, Fisher's exact, and Wilcoxon tests to determine statistical significances. A P‐value < 0.05 was considered statistically significant. We used the JMP software version 13 for Windows (SAS Institute, Cary, NC, USA) to perform all statistical analyses.
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5

Statistical Significance Testing Protocol

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Statistical significance was defined as p < 0.05 using Student’s paired t-test (to compare the means of two groups) and Pearson’s χ2 test. JMP software Version 13 for Windows (SAS Institute, Cary, NC, USA) was used for statistical analysis.
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