Statistical comparison between treatment groups at different concentrations were investigated using one-way ANOVA by SPSS software 15 for windows (SPSS Inc., Chicago, IL, USA) (p ≤0.05).
Spss software for windows 15
Manufactured by IBM
Sourced in United States
SPSS software for Windows 15.0 is a statistical analysis software package. It provides tools for data management, analysis, and presentation. The software is designed to work on the Windows operating system.
Automatically generated - may contain errors
Lab products found in correlation
7 protocols using spss software for windows 15
1
Concentration-Dependent ANOVA Analysis
2
Comparative Analysis of Curcumin Formulations
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Statistical comparison between curcumin, CS/β-CD/TPP-Folic acid/Alg and CS/β-CD/TPP-Folic acid/Alg-CUR treatment groups at different concentration were investigated using one-way ANOVA by SPSS software 15 for windows (SPSS Inc., Chicago, IL, USA) (p ≤ 0.05).
3
Comprehensive Statistical Analysis of Biomarker Survival
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Statistical analyses were carried out by SPSS software for Windows 15.0. Suitability of variables to normal dispersion was observed by using visual (histograms and probability graphics) and analytical (Kolmogorov-Smirnov, and Shapiro-Wilk tests) methods. In Kolmogorov-Smirnov testing, p values above 0.05 are considered as normal dispersion. Differences between groups were observed by using chi-square and Mann-Whitney U test. Kaplan-Meier survival analysis was performed for the relation of each immunohistochemical positive and negative result with survival. Statistical differences were confirmed by log-ranking test. P values under 0.05 were considered to be significant.
4
Stratified Meta-analysis of Renal Diagnoses
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More detailed methodology of data synthesis and meta-analyses has been published previously. Final renal diagnoses have been extracted as dichotomous data (e.g., MGN yes/no) and analyses have been reported as proportions with 95% confidence intervals (CIs, truncated at 0 and 1) from the extracted data. The study results were then stratified by the reports’ age subgroups (i.e. pediatric, adult, elderly, general), and global regions of the reviewed studies (i.e. East Asia, Europe, Latin America, Middle East, South Asia, United States-Australia; no report from sub-Saharan Africa). A random effect model was employed in order to pool outcome event rates using Stata v.9.0 software (StataCorp LP). Statistical heterogeneity between summary data was assessed using the Cochrane I2 statistic. SPSS software for Windows 15.0 (SPSS Inc.) and Microsoft Excel 2013 were used wherever needed.
5
Statistical Analyses of Survival Outcomes
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Statistical analyses were carried out using SPSS software for Windows 15.0. Suitability of variables to normal dispersion was observed by using visual (histograms and probability graphics) and analytical methods (Kolmogorov-Smirnov and Shapiro-Wilk tests). In Kolmogorov-Smirnov test, p values above 0.05 are considered as normal dispersion. Differences between groups were observed by using chi-squared and the Mann-Whitney U test. Kaplan-Meier survival analysis was performed for the relation of each immunohistochemical positive and negative result with survival. Statistical differences had been confirmed by log-rank testing. P values under 0.05 were considered significant.
6
Methylation Status Comparative Analysis
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The methylation status was compared between groups by independent sample T-test (sig two-tailed) using the SPSS software for Windows 15.0 (SPSS Inc., Chicago, IL, USA). A P-value ofo0.05 was considered to be significant. A receiver-operating characteristic (ROC) curve analysis was performed to assess
7
Statistical Analyses in Clinical Research
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Statistical analyses were carried out by SPSS software for Windows 15.0. Suitability of variables to normal dispersion was observed by using visual (histograms and probability graphics) and analytical (Kolmogorov-Smirnov, and Shapiro-Wilk tests) methods. In Kolmogorov-Smirnov testing, p values above 0.05 are considered as normal dispersion. Differences between groups were observed by using chi-square and Mann-Whitney U test. Kaplan-Meier survival analysis was performed for the relation of each immunohistochemical positive and negative result with survival. Statistical differences were confirmed by log-ranking test. P values under 0.05 were considered to be significant.
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