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Jmp pro 14 statistical discovery

Manufactured by SAS Institute
Sourced in United States

JMP Pro 14 is a statistical software package designed for data analysis, visualization, and modeling. It provides a range of statistical tools and techniques to help users explore, analyze, and interpret data. The software is suitable for a variety of industries and applications, including scientific research, quality improvement, and business analytics.

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Lab products found in correlation

4 protocols using jmp pro 14 statistical discovery

1

Characterization of Cellular Responses

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Results are expressed as mean ± standard deviation. Statistical analysis was performed using one-way ANOVA with Tukey post hoc for pairwise comparisons (JMP Pro 14 Statistical Discovery, SAS, Cary, NC, USA). Statistical significance was set at p < 0.05.
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2

Immune Cell Profiling in Chemotherapy Response

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Relationships between clinico‐pathological features and IHC results were analyzed by Mann‐Whitney U test and Pearson’s χ2 test. The median cell count for each immune cell was used to categorize patients into two groups: high vs low. A logistic regression model was used to evaluate odds ratios related to the poor histopathological response to chemotherapy. Variables with P < 0.05 in the univariate analysis were subjected to the multivariate model. Survival curves were estimated using the Kaplan‐Meier method and differences in survival were compared using the log‐rank test. All statistical analyses were performed using JMP Pro 14 statistical Discovery (SAS Institute). Data are expressed as median (interquartile range) and P < 0.05 is considered significant.
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3

Statistical Analysis of Experimental Data

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Results were expressed as mean ± standard deviation. Each experiment was repeated at least twice to confirm reproducibility. Data were combined from multiple runs to obtain the sample size. Statistical analysis was performed using a one-way ANOVA with a Tukey post-hoc adjustment for pairwise comparisons (JMP PRO 14 Statistical Discovery, SAS, Cary, NC, USA). Statistical significance was set at p < 0.05.
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4

Cellular Metabolic Activity Assay

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Results are expressed as mean ± standard deviation. Each experiment was repeated at least twice to confirm reproducibility, and data were combined to obtain the sample size. Statistical analysis was performed using oneway ANOVA with Tukey post hoc for pairwise comparisons (JMP Pro 14 Statistical Discovery, SAS, Cary, NC). Statistical significance was set at p < 0.05.
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