All analyses were performed using SPSS for Windows version 9.0 (SPSS Inc., Chicago, IL). Data were expressed as mean ± standard deviation (SD). A paired Student's t-test was used to make statistical comparisons between preoperative and postoperative LogMAR visual acuity and IOP. A P value < 0.05 was considered as significant.
Spss for windows version 9
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SPSS for Windows version 9.0 is a comprehensive software package for statistical analysis. It provides a wide range of statistical procedures for data management, analysis, and presentation.
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Lab products found in correlation
7 protocols using spss for windows version 9
1
Assessing Visual Acuity and IOP Changes
2
Balance Assessment in Spinal Cord Injury
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The optimal sensory conditions for balance assessment were analyzed by analysis of variance (ANOVA), with vision and support base as the main factors. Further, Pearson correlation between HD and clinical scales was analyzed to determine the influences of HD on balance in SCI subjects.
Statistical analyses were performed using SPSS for Windows (version 9.0, Chicago, IL). Data were considered significant at p < 0.05. Correlation analyses were performed per Munro’s classification [30 ]: 0.00–0.25: little, if any correlation; 0.26–0.49: low correlation; 0.50–0.69: moderate correlation; 0.70–0.89: high correlation; and 0.90–1.00: very high correlation.
Statistical analyses were performed using SPSS for Windows (version 9.0, Chicago, IL). Data were considered significant at p < 0.05. Correlation analyses were performed per Munro’s classification [30 ]: 0.00–0.25: little, if any correlation; 0.26–0.49: low correlation; 0.50–0.69: moderate correlation; 0.70–0.89: high correlation; and 0.90–1.00: very high correlation.
3
Statistical Analysis of Biomedical Data
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Normality of distribution is statistically tested by Kolmogorov-Smirnov test. The average values of continuous variables are expressed by median and interquartile range. Nominal indicators are shown by an absolute and relative number. Differences between categorical variables are tested by χ2 test and Fisher’s exact test. To determine the differences between two independent groups we used the Mann-Whitney test, and in the case of three or more independent groups, the Kruskal-Wallis test. The evaluation of association is expressed by Spearman’s rank-order correlation coefficient. To assess the importance of given results, we determined α = 0.05 as a level of importance. We used the SPSS for Windows (version 9.0, Carry, NY, USA) for all statistical analyses.
4
Phyllodes Tumor Marker Expression
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The Chi-square test was used to determine differences in CD10, VEGF, and factor 8 expression between benign, borderline and malignant phyllodes tumors. One-way analysis of variance was used to determine the level of significance of markers (VEGF, CD10, and factor 8) between the groups (benign, borderline, and malignant). Chi-square test was used to calculate the P value. Statistical significance was established at P < 0.05.
The test used for calculating the correlation coefficient was Pearson's coefficient correlation test. Data were collected, coded, and analyzed by SPSS for Windows Version 9.0 (Chicago, SPSS Inc) under Microsoft Windows XP.
The test used for calculating the correlation coefficient was Pearson's coefficient correlation test. Data were collected, coded, and analyzed by SPSS for Windows Version 9.0 (Chicago, SPSS Inc) under Microsoft Windows XP.
5
Diagnostic Accuracy of Radiologic Imaging Techniques
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The sensitivity, specificity, accuracy, positive predictive value and negative predictive value were calculated by use of standard statistical formulae.
True-positive was any radiologically suspected malignant lesion, confirmed at histological examination. False-positive was any radiologically suspected malignant lesion, resulting as benign at histological examination. False-negative was lesion identified intraoperatively and/or recognised as malignant at histological examination. True-negatives were hepatic benign lesions that had to be resected because of their proximity to malignant lesions, yet whose benignity was confirmed by histological examination. As a rational decision was taken not to resect all benign liver lesions if not needed, the true-negatives in this series are underestimated.
In order to verify any differences in the detection of LM capability among the five RITs, we used the nonparametric Cochran Q-test. Whenever the Cochran Q-test found statistical significance, the McNemar test was applied so as to test the statistical significance of differences in performance between techniques pairwise. For the comparison between independent groups, the χ2-test was used.
All tests were two-sided and were carried out to a 5% level of significance, using software SPSS for Windows, version 9.0 (SPSS, Chicago, IL, USA).
True-positive was any radiologically suspected malignant lesion, confirmed at histological examination. False-positive was any radiologically suspected malignant lesion, resulting as benign at histological examination. False-negative was lesion identified intraoperatively and/or recognised as malignant at histological examination. True-negatives were hepatic benign lesions that had to be resected because of their proximity to malignant lesions, yet whose benignity was confirmed by histological examination. As a rational decision was taken not to resect all benign liver lesions if not needed, the true-negatives in this series are underestimated.
In order to verify any differences in the detection of LM capability among the five RITs, we used the nonparametric Cochran Q-test. Whenever the Cochran Q-test found statistical significance, the McNemar test was applied so as to test the statistical significance of differences in performance between techniques pairwise. For the comparison between independent groups, the χ2-test was used.
All tests were two-sided and were carried out to a 5% level of significance, using software SPSS for Windows, version 9.0 (SPSS, Chicago, IL, USA).
6
Statistical Analysis of Research Outcomes
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All analyses were performed using SPSS for Windows version 9.0 (SPSS, Inc., Chicago, IL). The main outcome measures were expressed as mean (±standard deviation). Comparison of means was performed by paired Student's t-test. A P value <0.05 was considered significant.
7
Comparative Analysis of Means
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All analyses were performed using SPSS for windows version 9.0 (SPSS, Inc., Chicago, IL). The main outcome measures were expressed as mean (!standard deviation). Comparison of means was performed by the paired Student t-test. A P-value !0.05 was considered significant.
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