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Prism statistical software

Manufactured by GraphPad
Sourced in United States

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.

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138 protocols using prism statistical software

1

Quantifying Viral RNA and Titers

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The values are presented as means with standard error (s.e.m). Statistical significance among different groups was calculated using GraphPad Prism Statistical Software. For data comparing viral RNA copies, viral titers, and fluorescence staining (shown on a log-based scale), Welch’s t-test was used, and for other data, two-tailed Student’s t-test was applied. , ∗∗ and ∗∗∗ represent P < 0.05, P < 0.01, and P < 0.001, respectively.
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2

Quantitative Statistical Analysis Protocol

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Data displayed in the figures represent mean±standard error of the mean (s.e.m.) of representative experiments. Statistical comparisons between two groups were evaluated using unpaired two-tailed Student's t-test. All numerical data were presented as mean±s.e.m. P-values ≤0.05 are considered significant. Data analysis was performed with GraphPad Prism Statistical Software version 8.
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3

Comprehensive statistical analysis of biomaterial properties

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Before performing
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.
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4

Monocyte Activation and Cytokine Analysis

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Data were expressed as mean ± standard deviation (mean ± SD) of three experiments using monocytes from three different donors. Statistical significance was measured by Student’s t-test using GraphPad Prism Statistical Software (GraphPad Software, La Jolla, USA). *P < 0.05 and **P < 0.01 indicate statistic difference between compared groups.
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5

Probit Analysis of Insecticide Toxicity

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All experiments were repeated three times and performed in triplicate. Data were analyzed with SPSS statistical analysis software (version 22.0, IBM Corp., Armonk, NY, USA) using the probit analysis statistical method. The LC50 values (with 95% confidence limits) were calculated. Differences among the results were considered to be statistically significant when the p value was <0.05. MS Excel 2007 was used to determine the regression equation (Y = mortality; X = concentrations), and the LC50 was derived from the obtained best-fit line. One-way ANOVA followed by post hoc Tukey test and two-way ANOVA followed by Duncan’s test and t test were applied to determine significant differences in teratogenicity, behavior, learning impairment assessment, and gene expression between exposed and control groups. Data are presented as mean values ± standard error of the mean (SEM), with significant differences relative to the control (p-values ≤ 0.05). GraphPad Prism statistical software (GraphPad Software, San Diego, CA, USA) was used for all graphs.
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6

Modeling Salmonella Growth Curves

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Growth curves were constructed by plotting the logarithm of the number of Salmonella vs. time at the different condition assays. Each point of the growth curve corresponds to the average value of all the samples analyzed (at least three replicates). The curves obtained were fitted with the Baranyi and Roberts model (Equations (1) and (2)) [22 (link)]: Yt=Y0+μmax·AtYmaxY0M·ln1eM+eM·YmaxY0μmax·AtYmaxY0
At=tλ·11h0·ln1eh0·tλ+eh0·tλ1
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.
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7

Statistical Analysis Methods for Research

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When appropriate, data were obtained from at least three independent experiments and expressed as mean ± SD. For comparison of the mean of two groups, the statistical significance was measured by Student’s t-test. To compare the difference between multiple groups, statistical significance was analyzed using a one-way analysis of variance (ANOVA), followed by Newman-Keul’s test. Calculations were performed with GraphPad Prism Statistical Software (GraphPad Software Inc., San Diego, CA). Statistical significance was defined as P < 0.05 or P < 0.01.
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8

Evaluating DNA Damage Assays

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The normality of the variables was evaluated by the Kolmogorov-Smirnov test, and Student's t-test or Mann Whitney U test was used to compare the characteristics of the study population and DNA damage in relation to characteristics of the study population. The statistical differences of damage observed for groups by the comet assay and BMNCyt assay were determined by ANOVA test. Values of P < 0.05 were considered statistically significant. All analyses were performed using the GraphPad PRISM statistical software (GraphPad Inc., San Diego, CA, USA).
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9

Survival Data Analysis Protocol

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Survival data were analysed using the log-rank test. Data were represented as mean ± S.E.M. Differences among groups were assessed using one-way analysis of variance (ANOVA) test, followed by Dunnett’s multiple comparison post hoc test. Probability of P < 0.05 was considered to be significant. All statistical analysis were performed using Graph pad prism statistical software (version 5).
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10

Imaging Characteristics and Tumor Response

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χ2 test was used to test the significance of the primary tumor and lymph node status and the stage with the treatment response. The correlation between imaging characteristics and short-term outcome was analyzed by t test, and receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of imaging characteristics and the determination of cutoff value. The accuracy of cutoff value was verified by imaging characteristics of patients in the validation group. The correlation with survival time was evaluated by Kaplan–Meier analysis.
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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