Prism statistical software
Prism is a comprehensive data analysis and graphing software designed for scientific and academic research. It provides a wide range of statistical analysis tools, enables the creation of high-quality graphs, and facilitates the visualization of data. Prism offers a user-friendly interface and a variety of features to assist researchers in interpreting their findings.
Lab products found in correlation
138 protocols using prism statistical software
Quantifying Viral RNA and Titers
Quantitative Statistical Analysis Protocol
Comprehensive statistical analysis of biomaterial properties
the statistical analysis, data were examined for normality as parametric
test assumptions. Descriptive statistics for each variable were calculated
and presented as the “mean ± standard error of mean”.
Statistical analysis for porosity, swelling test, water vapor transmission
rate, cell viability (%), wound closure (%), epithelial thickness,
and the number of newly formed wound vessels was performed using one-way
analysis of variance (ANOVA) followed by Tukey’s multiple comparison
test. Statistical analysis for inflammation and collagenization was
performed using the Kruskal–Wallis test followed by Dunn’s
test for multiple comparisons. Stata version 16.1 (StataCorp, College
Station, TX, USA) and GraphPad Prism statistical software (GraphPad
Software Inc., USA) were used for analysis of the data.
Monocyte Activation and Cytokine Analysis
Probit Analysis of Insecticide Toxicity
Modeling Salmonella Growth Curves
where Yt is the Log10 of cell concentration at time t (CFU/mL), Y0 is the Log10 of the initial cell concentration (CFU/mL), Ymax is the Log10 of maximum cell concentration (CFU/mL), μmax is the maximum growth rate (h−1), λ is the lag phase (h), and M and h0 are curvature parameters, taking them as constant values and with both set at a value of 10. For this purpose, GraphPad PRISM® statistical software (GraphPad Prism version 8.00 for Windows, GraphPad Software, San Diego, CA, USA) was used. The same software was used for calculating the goodness of fit parameters (R2 and RMSE) and to carry out the statistical analysis (Student’s t-tests and ANOVA). Differences were considered significant for p ≤ 0.05.
Statistical Analysis Methods for Research
Evaluating DNA Damage Assays
Survival Data Analysis Protocol
Imaging Characteristics and Tumor Response
A value of P < .05 was considered as statistically significant and all P values presented are 2-sided. The statistical analyses were performed using the MedCalc Statistical Software and GraphPad Prism Statistical Software.
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