Statistical analysis was performed using SPSS 22.0 package software. Variables were presented as means ± SD. Means of continuous variables were compared using the Unpaired t-test, or Mann–Whitney Test (when the data were not normally distributed). The percentage differences between groups were compared using χ2 test or Fisher's Exact Test. The differences between groups were considered statistically significant at P < 0.05.
Spss 22.0 package
Manufactured by IBM
Sourced in United States
SPSS 22.0 is a statistical software package developed by IBM. It provides data management, analysis, and presentation tools for researchers and analysts. The software offers a range of statistical techniques, including descriptive statistics, regression analysis, and hypothesis testing.
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Lab products found in correlation
20 protocols using spss 22.0 package
1
Statistical Analysis of Experimental Data
2
Intention-to-Treat Analysis of Clinical Outcomes
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The intention-to-treat analysis included all patients who were randomly allocated to one of the two groups. A last observation carried forward analysis was conducted for any missing data on primary or secondary outcomes. Analysis of safety included data for all patients who had taken at least one dose of study medication after randomization. SPSS 22.0 package (SPSS Inc., Chicago, IL, United States) was used to perform the analysis. Continuous variables were expressed as the mean ± standard deviation. An independent samples t-test was used to compare differences between the two groups. A paired samples t-test was performed to calculate differences between prior and after treatment in one group. Categorical variables were expressed as absolute and relative frequencies. The Chi-square test or Fisher’s exact test were used to compare the differences in proportions between the two groups. Univariable and multivariable logistic regression analyses were conducted to evaluate the magnitude and significance of the association. A two-sided P value < 0.05 was considered statistically significant.
3
T cell and CAS Correlation Analysis
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SPSS 22.0 package software was used to analyse all data. Continuous data are given as the mean ± standard deviation. Categorical variables are reported as numbers. Means of continuous variables were compared using the unpaired t-test or Mann–Whitney test (when the data were not normally distributed). Spearman's rank correlation test was used to evaluate the correlations between T cells and CAS. A Pvalue <0·05 was considered to be significant.
4
Statistical Analysis of Continuous and Categorical Data
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GraphPad Prism 8 (San Diego, CA, United States) and SPSS 22.0 package (SPSS Inc., Armonk, NY, United States) was used to perform the analysis. Continuous variables were expressed as the mean ± standard deviation. An independent samples t-test was used to compare differences between the two groups. Categorical variables were expressed as absolute and relative frequencies. The Chi-square test or Fisher’s exact test were used to compare the differences in proportions between the two groups. A two-sided P value < 0.05 was considered statistically significant.
5
Skeletal, Dental, and Soft Tissue Changes
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All statistical analyses were carried out using SPSS 22.0
package program (SPSS Inc, Chicago, III). Descriptive statistics
such as mean values and standard deviations were
calculated. The Shapiro Wilk normality test was used to determine
the normality of parameters. The Student t-test was
employed to compare the pre- and post-treatment results of
the two groups. Skeletal, dental, and soft tissue changes that
occurred after the use of TB and EA appliances were evaluated with paired sample t-test. The measurements of five
randomly selected patients were reperformed two weeks
later by the same researcher. The intracorrelation coefficient
was calculated for each repeated measurement (Table 1 ). A p
value <.05 was considered statistically significant.
package program (SPSS Inc, Chicago, III). Descriptive statistics
such as mean values and standard deviations were
calculated. The Shapiro Wilk normality test was used to determine
the normality of parameters. The Student t-test was
employed to compare the pre- and post-treatment results of
the two groups. Skeletal, dental, and soft tissue changes that
occurred after the use of TB and EA appliances were evaluated with paired sample t-test. The measurements of five
randomly selected patients were reperformed two weeks
later by the same researcher. The intracorrelation coefficient
was calculated for each repeated measurement (
value <.05 was considered statistically significant.
6
Athlete Performance Analysis Protocol
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The SPSS 22.0 package program was used for the statistical analysis of the data obtained. An independent sample t-test was used for the group comparisons, whereas a Pearson correlation test was used to determine the relationships between the parameters. The alpha value was accepted as <0.05. When type I error (α) was 0.05 and type II error (β) was 0.20, at least 13 athletes were calculated by the power analysis with the NCSS-Pass v.2008 software.
7
Statistical Analysis of Continuous and Categorical Variables
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All statistical analyses were performed with the Statistical Package for the Social Sciences (SPSS 22.0 Package; SPSS Inc., Chicago, Illinois, United States). Continuous variables are expressed as the means and were analyzed using Student’s t test. Categorical variables were compared with a χ2 test or, if appropriate, Fisher’s exact test. A probability value of < 5% was considered statistically significant.
8
Biomarker Analysis in Acute Ischemic Stroke
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Categorical variables were presented as numbers (percentages), and continuous variables were expressed as mean ± standard deviation (S.D.). A normality test was performed on all continuous variables before analysis. We compared two groups for categorical variables with the chi-square test or Fisher’s exact test when appropriate, and for continuous variables with the t-test. The differences in biomarker levels at baseline between AIS patients and the healthy controls were calculated using a t-test. MMP-9 and BDNF were normally distributed variables which were assessed by the Shapiro-Wilk test. For repeated measures, group comparisons (good prognosis and poor prognosis) of marker levels at different time points were analyzed by repeated measurement analysis of variance (ANOVA). Simple-effect analysis was also done for comparisons between the good prognosis group and the poor prognosis group at each time point and any of two time points in each group. Data was analyzed using SPSS 22.0 package for Windows (SPSS Inc., Chicago, IL, United States). A P value of less than 0.05 (P < 0.05) was statistically significant.
9
Statistical Analysis of Disease Manifestations
10
Coronary Artery Bifurcation Angle Analysis
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The bifurcations of LMCA, LAD and Cx were examined in 30-60º LAO and 10-45º caudal angiographies. Angle between branches LMCA-LAD, LAD-Cx, LMCA-Cx were measured.
The bifurcations of the Cx and its branches were examined in the angiographies taken at 10-45º RAO and 10-30º caudal position. Angle between branches Cx-OM1, Cx-OM2 were measured.
The bifurcations of the LAD and its branches were examined in the angiographies taken at the 5-30º RAO and the 20-45º cranial position. Angle between branches LAD-D1, LAD-D2 were measured.
The bifurcations of the RCA and its branches and the branches of the RVD with RCA were examined in the angiographies taken at 30-45º LAO and 15-25º cranial position. Angle between branches RCA-RMD, PDA-PL were measured (
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