SPSS software package version 13.0 statistical software was used for statistical analysis, and the experimental data were represented by mean ± standard deviation ( ). First, the normal distribution test and variance homogeneity tests were carried out. The continuous variables conforming to the normal distribution were statistically analyzed by one-way ANOVA. Minimum significant difference (LSD) method was used to compare the mean of multiple groups when the homogeneity of variance test was passed, and Tamhane's T2 method was used to compare the mean of multiple groups when the homogeneity of variance test was not passed. A nonparametric test was used for statistical analysis of data that did not conform to normal distribution. All the above significant levels were P < 0.05, indicating statistically significant differences.
Spss software package version 13
Manufactured by IBM
Sourced in United States
SPSS software package, version 13.0, is a statistical analysis software tool. It provides features for data management, analysis, and presentation. The core function of SPSS is to enable users to perform various statistical tests and analyses on data.
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Lab products found in correlation
33 protocols using spss software package version 13
1
Statistical Analysis of Experimental Data
2
Cardiovascular Risk Factors in Psoriasis
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Data were analyzed using the SPSS software package, version 13.0 (SPSS Inc., Chicago, IL, USA). Pearson chi-square was used in the analysis of categorical data. Fisher’s exact test was used in 2x2 tables, and Pearson chi-square test with Monte Carlo approximation was used in 2x3 tables when the expected frequency was less than five. In addition, t-test was used to analyze the normally distributed quantitative data. Further, we conducted multivariate logistic regression to identify cardiovascular risk factors related to psoriasis. Multivariate logistic regression models were used to calculate the odds ratio (OR) and 95% confidence interval (CI). A p<0.05 was considered significant.
3
Statistical Analysis of Continuous Variables
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SPSS software package version 13.0 was used for data analysis. Continuous variables that approximated the normal distribution were expressed as the mean ± standard deviation (SD). Comparisons between groups were subjected to one-way analysis of variance (ANOVA) followed by Fisher's least significant difference (LSD) test. A value of P < 0.05 was considered statistically significant.
4
Statistical Analysis of Experimental Data
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The SPSS software package, version 13.0 (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. All data are represented as the mean ± standard error (SE). One-way analysis of variance (one-way ANOVA) was used for statistical analysis. The correlation analyses were evaluated by linear regression using GraphPad Prism 5 (GraphPad Software, Inc., La Jolla, CA, USA). P<0.05 was considered to indicate a statistically significant difference.
5
Comparative Analysis of Treatment Outcomes
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Results were expressed as the mean ± SEM. Statistical analysis was performed using an SPSS software package, version 13.0 (SPSS, Inc., Chicago, USA). Comparisons between two groups were made using an independent t-test. P < 0.05 was considered statistically significant.
6
Tissue Specimen Analysis Protocol
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All experiments were repeated at least in triplicate. Data are presented as mean ± SEM from all tissue specimens isolated. Statistical significance was assessed by one-way repeated analysis of variance (ANOVA), followed by Tukey’s honest significant difference (HSD) post hoc test using SPSS software package version 13.0 (SPSS Inc., Chicago, IL, USA). A value of P <0.05 was considered significant.
7
Statistical Analysis of Experimental Data
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The difference between means was analyzed using Student's t-test and analysis of variance using SPSS software package, version 13.0 (SPSS, Inc.). All data are showed as the mean ± standard deviation (SD). A P-value of <0.05 was considered to denote a statistically significant difference.
8
Statistical Analysis of Survival Outcomes
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Statistical analysis in this study was performed using SPSS software package version 13.0 (SPSS Inc., Chicago, IL). Continuous variables were analyzed using the Student t test or the Mann–Whitney test. Categorical variables were analyzed using the Chi-square test or Fisher exact test. The 3-year survival ratio was calculated by the Kaplan–Meier method, and the log-rank test was used to analyze the differences. P < .05 was considered to be statistically significant.
9
Statistical Analysis of Experimental Data
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Data were analyzed using the SPSS software package version 13.0 (SPSS Inc., USA), and a P < 0.05 was considered as being statistically significant. Quantitative data were expressed as the mean ± standard deviation (SD). In intra-group comparison between the data obtained before and after treatment, the paired-samples t-test was used if the data had a normal distribution; otherwise the Wilcoxon W-test was preferred. For comparison among the three groups, the one-way analysis of variances (ANOVA) was chosen if the data had a normal distribution and equal variance; when P < 0.05, least-significant difference was chosen for post-hoc multiple comparisons. An independent multi-sample rank sum test was employed when P < 0.05, and the Bonfferoni method was used to conduct a two–two comparison.
10
Surgical Outcomes Analysis for FMWSI and CI
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All data were analyzed by using the SPSS software package version 13.0 (SPSS Inc., Chicago, IL, USA). The measurement data are expressed as mean ± standard deviation (SD), and differences between groups were analyzed using Student’s t-test or Fisher’s exact test. Pearson correlation was performed to analyze the relationship between length of the incision and perioperative outcomes of FMWSI and CI. A P value less than 0.05 was considered statistically significant.
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