The statistical analysis was made with the use of a commercially available statistical package, SPSS for Windows, Version 15.0 (IBM SPSS for Windows, Version 15.0). Continuous variables were expressed as mean ± standard deviation, while categorical variables were expressed as ratios. Categorical and discrete variables were compared using the chi-square (χ2) test. Diagnostic yield (%) = 100 × ENB-guided biopsy-diagnosed cases/total number of patients with completed procedures. Pearson correlation analysis was made to investigate the possible association between diagnosis and size or location of peripheral lesions. For statistical tests of association, P < 0.05 was considered significant.
Spss for windows version 15
Manufactured by IBM
Sourced in United States
SPSS for Windows version 15.0 is a statistical software package that provides data management, analysis, and presentation capabilities. It offers a range of analytical techniques, including descriptive statistics, regression, and multivariate analysis. The software is designed to work on the Windows operating system.
Automatically generated - may contain errors
Lab products found in correlation
Stata 10, by StataCorp (1 mentions)
Prism 8, by GraphPad (1 mentions)
Version 12, by MedCalc (1 mentions)
Spss v 15.0 for windows, by IBM (1 mentions)
Spss v15, by IBM (1 mentions)
Spss 15.0 for windows evaluation, by IBM (1 mentions)
Stata package version 12, by StataCorp (1 mentions)
Spss version 15, by IBM (1 mentions)
Spss version 16, by IBM (1 mentions)
Extended brilliance workspace, by Philips (1 mentions)
Prism 8, by IBM (1 mentions)
Rest2009 program, by Qiagen (1 mentions)
358 protocols using spss for windows version 15
1
Diagnostic Yield of ENB-Guided Biopsy
2
Predicting Biopsy Yield in Lung Nodules
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The statistical analysis was performed with a commercially available statistical package, SPSS for Windows, Version 15.0 (IBM SPSS for Windows, Version 15.0). Chi-square or rank sum tests were used to examine the association of patient’s age, sex, nodule side, shape, size, vertical (upper or lower), axial (inner1/3 or outer 2/3) distribution, characteristics (solid or ground glass), and ENB biopsy yield. Logistic regression was used to examine the association between nodule location (upper or lower lung), peripheral, or central and size (> or < than 21.5 mm) with the probability of a failed ENB (ENB non-diagnostic= “N”). A classification tree method was used to find an optimal cut-point for nodule size which indicated 21.5 mm being the strongest single value in predicting ENB failure. A significance level (P < 0.05) was applied for all analyses.
3
Statistical Analysis of Surgical Outcomes
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SPSS for Windows version 15.0 (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. Descriptive statistics are presented as means ± standard deviation or percentages. Means were compared by unpaired t-test, and proportions were compared by Chi-square or Fisher’s exact tests, as appropriate. Univariate analysis was used to identify different variables between treatment groups. A multivariable logistic regression analysis was performed to investigate factors that may have affected surgical outcomes (continence vs. incontinence) at follow-up. All calculated p values were two-tailed, and p < 0.05 was considered statistically significant.
4
Effect of Compound X on Cellular Function
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Data were expressed as mean ± SD and compared among groups using two-way analysis of variance (ANOVA) followed by the Tukey post hoc test. SPSS for Windows version 15.0 (SPSS Inc., Michigan, IL, USA) was performed for analyses of the data. p < 0.05 was considered statistically significant.
5
Cardiovascular Disease Survival Analysis
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Statistical analysis was performed using Statistical Package of Social Science (SPSS) for Windows, version 15.0 (SPSS Inc, Chicago, IL). Descriptive statistics were represented as frequencies and percentages for categorical variables and median (minimum–maximum) for continuous variables as appropriate. Distributions of variables were evaluated by one sample Kolmogorov Smirnov test. Mann–Whitney U test were used to compare continuous variables between groups. Categorical variables compared by chi-square tests.
Univariate survival analysis was performed to compare CVD-free period by the Kaplan–Meier method and the differences between survival curves were evaluated by using the log-rank test. The variables which had a statistically significant effect on Hazard Ratio were included in the Cox proportional hazard method as a multivariate analysis. The model was then reduced by using the backward elimination method and the best fitting models were reported.
Univariate survival analysis was performed to compare CVD-free period by the Kaplan–Meier method and the differences between survival curves were evaluated by using the log-rank test. The variables which had a statistically significant effect on Hazard Ratio were included in the Cox proportional hazard method as a multivariate analysis. The model was then reduced by using the backward elimination method and the best fitting models were reported.
6
Longitudinal Psychotic Symptom Dynamics in FEP
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The Statistical Package for Social Science (SPSS) for Windows, version 15.0 (SPSS Inc., 2010 ) was used to examine collected data. All tests were two-tailed. Their significance level was set at 0.05. As for repeated measures, the Wilcoxon test was performed to assess the 2-year longitudinal course of DS in the FEP total group. Linear regression analysis with DS as the dependent measure and Pr-EP intervention factors, clinical characteristics and sociodemographic features as independent measures, was also performed in our FEP population both at baseline and across the 2-year follow-up period. In longitudinal analyses, the differences (deltas [Δ]) between PANSS dimension scores at entry (T0) and at 1- or 2-year assessment time (T1/T2) as primary clinical parameters were specifically examined. - In line with what was suggested by Ver Hoef (2012) , the delta scores better define and qualify the temporal dynamics and longitudinal changes of psychotic psychopathology in comparison with T2, T1 and T0 single scores.
7
Statistical Analysis of Categorical and Numerical Data
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The data obtained were recorded in a database prepared for the study. SPSS for Windows, Version 15.0 (SPSS Inc., Chicago, IL, USA) was used for the statistical analysis. D scriptive statistics were calculated for categorical variables as number and percentage. Numerical variables were represented with the mean, SD, minimum, and maximum. The statistical significance level was accepted as p<0.05.
8
Nonparametric Data Analysis in SPSS
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The statistical analysis was performed using SPSS for Windows, Version 15.0 (SPSS Inc., Chicago, IL, USA). The Mann-Whitney test to compare different groups (unpaired, non-parametric). A p value less than 0.05 was considered significant.
9
Evaluation of Treatment Efficacy
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Values were expressed as means ± SE. To evaluate differences between the groups studied, one way analysis of variance (ANOVA) with the Duncan post hoc test was used to compare the group means and P < 0.05 was considered statistically significant. SPSS for Windows (version 15.0) was used for the statistical analysis.
% improvement = treated mean - injured mean/control mean × 100.
% improvement = treated mean - injured mean/control mean × 100.
10
Statistical Analysis for Gene and Protein Expression
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Data were analyzed using the Statistical Package for the Social Sciences Software, SPSS for Windows, Version 15.0 (SPSS Inc., Chicago, IL). For human skin data, significance of increase in gene or protein expression was calculated with a one-sample t-test, using 1 or 0 as reference values, respectively. For cyno skin data, significance of increase in gene and protein expression (relative to control condition) was computed using Wilcoxon's matched-pairs signed rank test. P-values <0.05 were considered significant.
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