All statistical analyses were performed using SPSS program version 17.0 (SPSS, Chicago, IL, USA). The relative expression of miR-205 in different groups was compared by a Mann-Whitney U test. Analyses for associations between miR-205 expression and clinicopathological parameters were made using Pearson's χ2 test. Binary logistic regression was used to evaluate odds ratios (OR) for lymph node metastasis. A receiver operating characteristic (ROC) curve was generated to find a cutoff of miR-205 with optimal diagnostic sensitivity and specificity. Disease-specific survival time was defined as the time from surgery to mortality from endometrial carcinoma. The analysis of disease-specific survival was performed by the Kaplan-Meier method and compared using the Log-rank test. Cox's proportional hazard model was used for multivariate survival analysis and the assessment of prognostic factors. All statistical tests were two-sided and P<0.05 was considered to indicate a statistically significant difference.
Spss program version 17
Manufactured by IBM
Sourced in United States
SPSS is a statistical software program developed by IBM. Version 17.0 provides data analysis and statistical modeling capabilities. The program is designed to help users analyze and interpret data, identify trends, and make informed decisions.
Automatically generated - may contain errors
46 protocols using spss program version 17
1
Prognostic Significance of miR-205 in Endometrial Carcinoma
2
Statistical Analysis of Experimental Data
3
Statistical Analysis of Experimental Replicates
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Results are presented as the mean ± standard deviation (SD) for at least three replicates for each sample. Statistical analyses were performed using the SPSS program, version 17.0 (SPSS Inc., Chicago, IL, USA, 2009). Data were analyzed by ANOVA and significant differences were set at p < 0.05, p < 0.01 and p < 0.001.
4
Statistical Data Analysis in SPSS
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The Statistical data analyses of averages and standard deviations, frequencies, and percentages were performed using SPSS program version 17.0 (SPSS Inc., Chicago, IL, USA).
5
Statistical Analysis of Experimental Data
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The SPSS program (version 17.0) was used for analysis. Measurement data was described as mean ± standard deviation. Background factors were compared using Student's t-test (numerical data) or the Chi-square test (categorical data). Spearman's two-tailed test was used for correlation analysis, and differences were regarded as significant if the P value was less than 0.05 on either side.
6
Vitamin D Status and NAFLD
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Statistical calculations were performed by the SPSS program version 17.0. Statistical analyses used were Student's t-test or ANOVA to compare continuous variables expressed as mean and standard deviation (SD); Pearson's correlation; and Spearman's correlation between nonparametric variables; association was verified by the Chi-square (χ2) test. A 5% significance level was established.
Odds ratio (OR) and 95% CI were calculated using logistic regression to determine the risk of NAFLD for nutritional status of 25(OH)D. Model was controlled for BMI and WC.
This study was approved by the Research Ethics Committee of Hospital Universitário Clementino Fraga Filho of Federal University of Rio de Janeiro (Research Protocol no. 011/06-CEP).
Odds ratio (OR) and 95% CI were calculated using logistic regression to determine the risk of NAFLD for nutritional status of 25(OH)D. Model was controlled for BMI and WC.
This study was approved by the Research Ethics Committee of Hospital Universitário Clementino Fraga Filho of Federal University of Rio de Janeiro (Research Protocol no. 011/06-CEP).
7
Statistical Analysis of Experimental Findings
8
Biomass Production and Composition Analysis
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All flask and PBR experiments were performed in biological triplicates. Mean values ± SD are presented in the figures. The effects of variable factors on biomass production and composition were determined with analysis of variance (ANOVA) followed by Duncan’s multiple-ranged test using the SPSS program Version 17.0 (SPSS Inc., Chicago, IL, USA). A significant difference between treatments was identified as those having p-values less than or equal to 0.05.
9
Microalgae Cultivation with Carbon Sources
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All bioreactor experiments and analytical measurements were performed in duplicates. The values presented in the figures and tables present the mean ± SD. The effects of carbon sources supplied for microalgae cultivation were analyzed using analysis of variance (ANOVA) followed by Duncan’s multiple range test. The data from the nitrogen- and phosphate-limiting conditions were compared using the independent samples t-test. SPSS program version 17.0 (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. A p-value of less than or equal to 0.05 was considered statistically significant.
10
Statistical Analysis of Experimental Groups
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The statistical analyses were conducted using SPSS program version 17.0 (SPSS Inc., Chicago, IL, USA). Significance testing was performed using a one-way analysis of variance (ANOVA), followed by Tukey’s multiple comparisons test to assess differences between groups. A significance level of p ≤ 0.05 was employed to determine statistical significance.
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