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Prism v7.0 for windows

Manufactured by GraphPad
Sourced in United States

GraphPad Prism v7.0 for Windows is a comprehensive data analysis and graphing software. It provides tools for data organization, statistical analysis, and creating publication-quality graphs. Prism v7.0 supports a wide range of data types and offers a user-friendly interface for efficient data handling and visualization.

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Lab products found in correlation

3 protocols using prism v7.0 for windows

1

Equine Laryngeal Function Analysis

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Horses were grouped by laryngeal grade for each of the grading systems. The Lane grade 5 and Havemeyer grade IV groups were excluded from statistical analysis due to extremely small population size (n = 1). Normality was assessed by a Shapiro–Wilk test. Data following a normal distribution was reported as mean ± SD, whereas data not following a normal distribution was reported as median ± range. Categorical data were reported as counts of horses and compared using either a chi‐square test or a Fisher's exact test depending on expected counts. Statistically significant outliers detected by a robust regression and outlier removal (ROUT) method with Q = 1% were excluded from all analyses. Performance parameters were compared between groups using analysis of variance (ANOVA) with Dunn's multiple comparison post hoc test for normally distributed data and a Kruskal–Wallis test for nonnormally distributed data. Statistical analysis was performed using commercially available statistical software (GraphPad Prism v7.0 for Windows, GraphPad Software, La Jolla, CA 92108, USA) and statistical significance was set at P < 0.05.
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2

Comprehensive Statistical Analysis of Tumor Marker Profiles

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For the statistical analysis, the median marker scores obtained from all available tumor measurements of each case were used. QIF signals between compartments were analyzed using linear regression and correlation functions and expressed as correlation coefficients. The marker levels in all compartments of interest were examined for differences in their associations with clinicopathologic features and compared across cohorts for validation. Differences between marker scores and patient characteristics were compared using the Student’s t-test/one-way analysis of variance for continuous variables and χ2 test for categorical variables. Overall survival functions were compared using Kaplan-Meier estimates, and statistical significance was determined using the log-rank test. The optimal cutpoints for survival analysis of each target in each compartment of interest were obtained using the X-tile software previously described20 (link) in Cohort 1 and tested for validation in Cohort 2. All p values were based on two-sided tests, and all values under 0.05 were considered statistically significant. Statistical analyses were performed using JMP Pro software (V.13.0.0, 2016, SAS Institute, Cary, North Carolina, USA) and GraphPad Prism V.7.0 for Windows (GraphPad Software, San Diego, California, USA).
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3

Volatile Organic Compounds Assays

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The disc volatilization and radial growth assays were expressed as means ± standard deviation (mean ± SD). Statistical analysis was performed using one-way analysis of variance (ANOVA) followed by Tukey’s HSD test to compare between the VOCs activity values against each microbe using SPSS software, Version 22 for Windows (IBM SPSS Inc., Chicago, IL, USA). Values from two doses (10 and 15 µL) were compared statistically using multiple t-tests through GraphPad Prism v.7.0 for Windows (GraphPad Software, USA). A p-value < 0.05 was considered statistically significant.
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