The results of all groups were expressed as mean ± SD. Statistical analyses were performed with GraphPad Prism 5 software (La Jolla, CA, USA) or SPSS-17 statistical software (SPSS Inc., Chicago, IL, USA). Mann–Whitney non-parametric test was used to compare LN patients with control groups. For statistical analysis between treatments, paired one-way Friedman test was used with Bonferroni post-hoc test over the ranked data. P < 0.05 were considered significant.
Spss statistical software 17
Manufactured by IBM
Sourced in United States
SPSS statistical software 17.0 is a data analysis and statistical software package developed by IBM. The software provides a range of tools for data management, analysis, and reporting, catering to the needs of researchers, analysts, and data-driven decision-makers. The core function of SPSS 17.0 is to enable users to perform advanced statistical analysis, model creation, and data visualization.
Automatically generated - may contain errors
Lab products found in correlation
47 protocols using spss statistical software 17
1
Statistical Analysis of Lupus Nephritis
2
Biochemical Analysis of Plant Extracts
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Each experiment was repeated at least three times. All values were expressed as means ± SD. Statistical analyses were performed by analysis of variance (ANOVA) using SPSS-17 statistical software (SPSS Inc., Chicago, IL, USA). Means were separated using Duncan’s least significance difference test at P < 0.05.
3
Analysis of Chemical Components and Biological Effects
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Data from the analysis of chemical components of GEJ-WE were from three different batches and expressed as mean ± SD. Data from cellular and animal studies were generated from 6 independent in vitro experiments or 6 mice per group (n = 6, where n represented the number of independent values as reported in each figure legend) and expressed as mean ± SEM. All statistical analyses were performed using SPSS17 statistical software (SPSS Inc., Chicago, IL, USA). Differences were analysed one-way ANOVA followed by a Tukey post hoc or Kruskal–Wallis test followed by Dunn’s test for multiple comparisons. Statistical significance was considered as p < 0.05. P value for statistical significance was not varied later in Results. For reducing unwanted sources of variation, we used ‘percentage matched control values’ to normalize the data of MTT assay, western blotting and qRT-PCR experiments.
4
Analysis of Experimental Variance
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Each experiment was repeated three times. All values were expressed as means ± SD. The data were analyzed via one-way ANOVA using SPSS-17 statistical software (SPSS Inc., Chicago, IL, USA), followed by Duncan’s tests. A p-value of <0.05 indicated a significant difference.
5
Statistical Analysis of Experimental Data
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Data are presented as the mean ± standard deviation of at least 3 replicates. SPSS 17 statistical software (SPSS, Inc., Chicago, IL, USA) was used to analyze the data, and statistical analysis was performed using one-way ANOVAs, with Fisher's least significant difference post-hoc tests used to determine the differences between groups. P<0.05 was considered to indicate a statistically significant difference.
6
Factors Associated with Positive Viral Infection
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The data were analyzed using SPSS 17 statistical software (SPSS Inc., Chicago, IL, USA). All tests were two-sided and values of P <0.05 were considered statistically significant. Participants who tested positive for PN or PV were recorded as being in the PNV group. The t-test and chi-square method for testing the mean difference and equality of proportions were used to compare the personal factors or health-promoting behavior with or without PNV. To investigate the potentially determinant factors associated with PNV, the variables that were significant (P <0.05) on previous univariate analyses (t-test or chi-square test) were further introduced into a multivariable logistic regression analysis with forward stepwise selection.
7
Correlating CEP55 Overexpression and Clinicopathological Factors
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The χ2 test was chosen to analyze correlations between CEP55 overexpression and clinicopathological factors. Univariate analysis was performed using Kaplan–Meier survival curves. The log–rank test was used to calculate survival rate. Multivariate analysis was performed using the Cox proportional hazard model. If the P‐value was less than 0.05, differences were considered significant. Statistical data were obtained using SPSS 17 statistical software (SPSS Inc., Chicago, IL, USA).
8
Statistical Analysis of Experimental Data
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Data were analyzed by Student’s t-test using SPSS17 statistical software (SPSS Inc., Chicago, IL, United States). Statistical significance was set at p ≤ 0.05.
9
Comparative Analysis of Biomarker Levels
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All data are presented as mean ± SD and analyzed using SPSS 17 statistical software (SPSS, Inc., Chicago, IL, USA). Comparisons between groups were determined by one-way analysis of variance, and p < 0.05 was recognized as statistically significant.
10
Statistical Analysis of Experimental Data
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SPSS 17 statistical software (SPSS, Inc., Chicago, IL, USA) was used for data processing. Continuous variables are presented as the mean ± standard deviation. Comparisons between the groups were evaluated by one-way analysis of variance followed by Least Significant Difference multiple comparison, or by the nonparametric Kruskal-Wallis test, according to the results of the homogeneity of variance test. P<0.05 was considered to indicate a statistically significant difference.
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