All enzymatic activity assays were carried out in triplicate and the obtained data are reported as mean ± SD. Data analysis was carried out using one-way ANOVA. Statistical analysis was performed using SPSS software 19.0 version (SPSS Inc., Chicago, IL, USA). Differences were considered statistically significant at p < 0.05.
Spss software 19.0 version
Manufactured by IBM
Sourced in United States
SPSS software 19.0 version is a statistical analysis software developed by IBM. It provides tools for data management, analysis, and presentation. The software is designed to help users analyze and interpret data from various sources, including surveys, experiments, and observational studies.
Automatically generated - may contain errors
Lab products found in correlation
4 protocols using spss software 19.0 version
1
Enzymatic Activity Assay Protocol
2
Optimized In Vitro and In Vivo Assays
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All the numerical results were indicated as the Mean ± Standard Deviation (SD) (n = 3 in vitro; n ≥ 6 in vivo) by SPSS software (19.0 version, Chicago, IL, USA). In the present study, a statistically significant difference was evaluated by one-way analysis of variance (ANOVA) followed by the least significant difference (LSD) post hoc test. A value of p less than 0.05 was considered statistically significant.
3
Statistical Analysis of Continuous and Categorical Data
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Continuous variables were expressed as mean±SD. The Shapiro-Wilk test was used to evaluate normal distribution. Differences between groups for continuous parameters were assessed by Student t test if they presented a normal distribution and Mann-Whitney U test otherwise. χ2 test was applied for categorical variables, which were reported as percentages. A 2-tailed P<0.05 was considered statistically significant. SPSS 19.0 software version (IBM SPSS Statistics, IL) was used for the analysis.
4
Statistical Analysis of Demographic Variables
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Continuous demographic variables were expressed as mean ± standard deviation. The Kolmogorov-Smirnov test was used to evaluate the normality distribution of variables. Inter-group differences for continuous parameters were assessed by Student's t-test if they presented a normal distribution or ANOVA with Bonferroni correction for multiple comparisons, and Mann–Whitney U test if they did not present a normal distribution. For categorical variables, general characteristics of the sample were assessed by percentages (chi-square test). Interobserver and intraobserver variabilities were calculated using the intraclass correlation coefficient. Agreement between ss-IR and seg-IR sequences was examined using the intraclass correlation coefficient and Bland–Altman analysis.
A two-tailed P value < 0.05 was considered statistically significant. SPSS 19.0 software version (IBM SPSS Statistics, Chicago, Illinois, USA) was used for the analysis.
A two-tailed P value < 0.05 was considered statistically significant. SPSS 19.0 software version (IBM SPSS Statistics, Chicago, Illinois, USA) was used for the analysis.
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