Data are presented as the mean ± SD of three independent experiments. All statistical analyses were conducted using the SPSS 16.0 statistical software package (SPSS Inc., Chicago, IL, USA). ANOVA, unpaired T test, and independent-samples T test were used to test for statistical significance among different groups in the in vitro experiments. Fisher's exact test was used for analyzing the immunohistochemistry (IHC) data.
Spss 16.0 statistical software package
Manufactured by IBM
Sourced in United States
SPSS 16.0 is a comprehensive statistical software package designed for advanced data analysis and visualization. It provides a wide range of statistical techniques, including descriptive statistics, regression analysis, and multivariate analysis, among others. The software is primarily used for the analysis of quantitative data in various fields, such as social sciences, business, and scientific research.
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Lab products found in correlation
39 protocols using spss 16.0 statistical software package
1
Evaluating In-Vitro Biological Responses
2
Statistical Analysis of Continuous and Categorical Data
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Continuous data were considered to be normally distributed when the standard deviation was less than half of the mean values. All normally distributed, continuous variables are presented as mean ± standard deviation (SD) and categorical data as frequency (%). Ordinal data were presented as median with interquartile range (IQR). To compare the means between or within independent groups, the independent samples t-test or the one-way ANOVA test was used. The chi-square test or the Fisher’s exact test were used to compare proportions as appropriate. The VAS pain scores and the withdrawal response score were analyzed using the Mann Whitney U test. A P value of < 0.05 was considered significant. The results were analyzed using the unpaired Student’s t-test for continuous, and the chi-square or the Fisher’s exact test for categorical variables. We used the SPSS 16.0 statistical software package (SPSS Inc., USA) for all analyses.
3
Msi2 Expression and Clinicopathological Characteristics
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All statistical analyses were performed using the SPSS 16.0 statistical software package (SPSS, Inc., Chicago, IL, USA). Experiments were performed in triplicate and differences between data were analyzed using one-way analysis of variance followed by Dunnett's test. The association between Msi2 expression and patient clinicopathological characteristics was analyzed using the χ2 test. Survival curves were plotted using the Kaplan-Meier method and compared using the log-rank test. Multivariate statistical analysis was performed using a Cox regression model. P<0.05 was considered to indicate a statistically significant difference.
4
Prognostic Role of DYRK2 in Cancer
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All statistical analysis was carried out by using the SPSS 16.0 statistical software package (SPSS Inc., Chicago, IL). Difference of DYRK2 expression between tumor tissues and matched ANT tissues was analyzed by the Wilcoxon signed rank test. Correlation between DYRK2 expression and clinical parameters was analyzed by using the Pearson’s chi-squared test. Survival curves were plotted by the Kaplan-Meier method and compared by the log-rank test. Survival data were evaluated by using univariate and multivariate Cox regression analyses. A two-sided P-value of less than 0.05 was considered to be statistically significant.
5
Clinicopathological Significance of PTOV1
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All statistical analyses were carried out using the SPSS 16.0 statistical software package (SPSS Inc, Chicago, IL). Spearman correlation test was applied to analyze the correlation between PTOV1 expression and the clinicopathological characteristics. The χ2 test was used to analyze the relationship between PTOV1 expression and clinicopathological features. Bivariate correlations between study variables were calculated using Spearman rank correlation coefficients. Survival curves were plotted using the Kaplan–Meier method and compared using the log-rank test. The significance of various variables for survival was evaluated using univariate and multivariate Cox regression analyses. All reported P values are two sided. P < 0.05 was considered statistically significant in all the cases.
6
Evaluation of Statistical Methods
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The results were expressed as mean ± SEM. Statistical analyses were performed using SPSS 16.0 statistical software package (SPSS, Inc., Chicago, IL, United States), and statistical significance of difference was determined by one-way or two-way ANOVA with Bonferroni’s correction for multiple comparisons. Significance was considered present when p < 0.05.
7
Exploring QKI Expression in Clinicopathology
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All statistical analyses were carried out using the SPSS 16.0 statistical software package (SPSS Inc., Chicago, IL, USA). The χ2 test was used to analyze the relationship between QKI expression and clinicopathological characteristics. Bivariate correlations between study variables were calculated by Spearman's rank correlation coefficients. P < 0.05 was considered statistically significant.
8
Evaluation of CRP-SAA and Total SAA Levels
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Statistical analyses were mainly conducted using the SPSS 16.0 statistical software package (SPSS Inc., Chicago, IL, USA). Receiver operating characteristic (ROC) curve analyses were used to compare the sensitivity and specificity for the detection of CRP-SAA and total SAA. The Mann–Whitney U test was used to analyze associations between the levels of CRP-SAA, total SAA and clinical characteristics. Survival curves were plotted using the Kaplan–Meier method and compared using the log-rank test. The significance of various variables in survival outcomes was assessed by applying the Cox proportional hazards model to the univariate and multivariate analyses. P < 0.05 was considered significant in all cases.
9
Survival Analysis of Disease Progression
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Progression-free survival (PFS) was measured from the date of diagnosis to the date of first relapse, progression, death, or last follow-up. Overall survival (OS) was defined as the time from diagnosis to death or last follow-up. The survival curve was constructed by the Kaplan-Meier method, and comparisons between groups were analyzed by the log-rank test and Bonferroni correction. The clinicopathological variables of the two groups were analyzed using a Pearson’s χ2 test for categorical variables and the Mann-Whitney test for continuous variables. A two-tailed P-value <0.05 by log-rank test was considered statistically significant. Statistical analysis was performed using the Statistical Package for Social Sciences (SPSS) 16.0 statistical software package (SPSS, Inc., Chicago, IL, USA).
10
Statistical Analysis of Surgical Outcomes
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Statistical data analysis was performed with the SPSS 16.0 statistical software package (SPSS Inc., Chicago, IL, USA). Each eye was considered a single case to compare the IO muscles' function following myectomy and disinsertion. For evaluating the horizontal and vertical deviations, V pattern, or DVD, each patient was considered as one case for statistical evaluation. For describing data, mean standard deviation, frequency, and percentage were used. For evaluation of the difference between groups, the Mann–Whitney U-test, the Wilcoxon signed-rank test, Chi-square, and Fisher exact tests were conducted. P-values 0.05 were considered statistically significant.
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