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Jmp pro 14.0.0 for windows

Manufactured by SAS Institute
Sourced in United States

JMP Pro 14.0.0 for Windows is a data analysis software developed by SAS Institute. It provides advanced statistical and analytical capabilities for professionals in various industries. The software offers a user-friendly interface and a wide range of features to help users explore, analyze, and visualize data effectively.

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Lab products found in correlation

3 protocols using jmp pro 14.0.0 for windows

1

Clinicopathological Characteristics and Survival Analysis

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The clinicopathological characteristics of the high RHBPP group were compared with those of the low RHBPP group, and those of the INI group were compared with those of the DI group. Univariate comparisons between two groups were performed using the Mann–Whitney U test for continuous variables and the chi‐squared test for noncontinuous variables. Overall survival (OS) and relapse‐free survival (RFS) were determined by the Kaplan–Meier method and analyzed with the log‐rank test or Cox proportional hazards model. Pearson's correlation coefficient was used to analyze the correlation between the maximum tumor size on precontrast T1‐weighted images and those of the liver resection specimen. Statistical analyses were performed using JMP Pro 14.0.0 for Windows (SAS Institute, Cary, NC, USA). Significance was defined as a P‐value <0.05.
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2

Survival Analysis in Oncology Research

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Univariate analyses were performed using the chi-square test for noncontinuous variables.
Logistic regression model analyses were performed for multivariate analyses. OS and recurrence-free survival (RFS) were analyzed by using the Kaplan-Meier method with the log-rank test or the Cox proportional hazards model. JMP Pro 14.0.0 for Windows (SAS Institute, Cary, NC) was used for the statistical analyses.
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3

Survival Analysis of Clinical Factors

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Differences in characteristic factors were evaluated by the Mann-Whitney U test for continuous variables or chi-square test for noncontinuous variables. Kaplan-Meier survival curves were compared by using the log-rank test. Overall survival (OS) and relapse-free survival (RFS) were evaluated. Prognostic factors were evaluated by these univariate analyses and multivariate analyses using the Cox proportional hazard model. We used JMP Pro 14.0.0 for Windows (SAS Institute, Cary, NC) for statistical analyses. A p value of < 0.05 was considered significant.
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