Data were analyzed using the Statistical Package for the Social Sciences (SPSS) statistical software for Windows, Version 20.0 (SPSS Inc., IL, USA). Haemodynamic changes before and after bisoprolol treatment were analyzed using the Wilcoxon signed-rank test and Friedman test as appropriate. Figures were plotted using Microsoft Excel 2010 and presented as median (interquartile range). Any BP change of 5 mmHg was considered clinically significant and P<0.05 was considered statistically significant.
Spss statistical software for windows version 20
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for statistical analysis. Version 20.0 is designed for Windows operating systems. The software provides core statistical functions for data analysis, including descriptive statistics, bivariate statistics, prediction for numerical outcomes, and prediction for identifying groups.
Automatically generated - may contain errors
Lab products found in correlation
33 protocols using spss statistical software for windows version 20
1
Bisoprolol's Hemodynamic Effects
2
Immunohistochemical Data Analysis
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SPSS Statistical Software for Windows, version 20.0 (SPSS Inc., Chicago, Illinois, USA) was used for the statistical analyses. The immunohistochemical data were presented as frequencies and percentages for categorical variables and analyzed with the Fisher’s exact χ2 test. For comparison of continuous variables which were expressed as mean ± standard deviation (SD), the unpaired two tailed Student’s t-test or the Mann–Whitney U test (in the case of skewed data) was used. p-values below 0.05 were considered statistically significant.
3
Statistical Analysis of Research Data
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All data were expressed as mean ± standard deviation. SPSS statistical software for Windows, version 20.0 (SPSS Inc., Chicago, IL, USA), was used for analyses using the chi-squared test, one-way analysis of variance, and linear regression analyses. A value of P<0.05 was considered to be statistically significant.
4
Tuberculosis Genotyping Protocol
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IS6110-RFLP analysis was performed according to the international standard method [4 (link)]. Comparison of the results was done using the IBM SPSS statistical software for Windows version 20.0 (SPSS Inc, Chicago, IL, USA). Isolates with clustered IS6110-RFLP banding patterns containing more than five bands were considered related. A dendrogram was generated with the neighbor joining algorithm using the Jaccard coefficient.
5
Comparative Efficacy of Novel Treatments
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No statistical methods were used to predetermine the sample size. The investigators were blinded to allocations during the experiments and outcome assessments. Statistical analysis was conducted using the t-test or analysis of variance, and P < 0.05 was considered statistically significant. All statistical tests were performed using SPSS statistical software for Windows version 20.0 (SPSS, Chicago, IL, USA).
6
Relationship between miR-29b-3p and MMP2
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SPSS statistical software for Windows, version 20.0 (SPSS, Chicago, IL, USA), was used for all analyses. Data were expressed as the mean ± SD. Comparisons were made using a two-sample test in two groups, and one-way ANOVA was used for multiple comparisons. The relationship between rno-miR-29b-3p and MMP2 mRNA and protein was determined using linear least squares regression analyses. The results were reported graphically and a correlation constant (R2) and a probability value. P < 0.05 was considered statistically significant.
7
Genetic Factors Affecting TP53 Expression
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Hardy-Weinberg equilibrium (HWE) of the selected SNPs was estimated using a goodness-of-fit χ2-test. The binary logistic regression model was used to analyze the genetic model of ALDH1L1 genotypes for the status of different TP53 expression levels and for the association between clinical risk factors with ALDH1L1 genotypes. Survival analyses were performed using the Kaplan-Meier method with the log-rank test for different clinical factors and different genotypes. Cox proportion haphazard regression analyses were used to calculate the crude or adjusted hazard ratio (HR) and the 95% confidence interval (CI) in univariate analyses and multivariate analyses, adjusted for those variables with P<0.1 in later multivariate analyses. A value of P<0.05 was considered statistically significant. All statistical analyses were conducted using SPSS Statistical Software for Windows, version 20.0 (SPSS, Chicago, IL, USA).
8
Survival Analysis of Malignant Pleural Mesothelioma
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All data analyses were performed using the SPSS statistical software for windows, version 20.0. The numerical data were directly recorded, and the category data were recorded into different categories. OS comparisons were analyzed with Kaplan-Meier cumulative survival curve and log rank test, and multivariate Cox regression analysis was performed to delineate the independent predictors. The OS comparisons were further stratified by PCI scores, with PCI ≤20 defined as low PCI (LPCI), and >20 as high PCI (HPCI) [13] (link). A 2-sided P<0.05 value was considered as statistically significant.
9
Analysis of Physiological Responses
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The data are presented as the means ± standard error of the mean (SEM). All statistical analyses were performed by using Statistical Package for the Social Sciences (SPSS) statistical software for Windows version 20.0 (SPSS Inc., Chicago, IL, USA) and two-way ANOVA with Duncan’s test. P < 0.05 was considered to indicate a statistically significant difference.
10
Statistical Analysis of Patient Subgroups
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Statistical analyses were performed using SPSS statistical software for Windows, version 20.0 (SPSS, Chicago, IL). The t test, Mann–Whitney U test, and chi-square test were used to compare the values or the ratios of the patient subgroups. Logistic regression was employed to identify factors associated with SRD occurrence.
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