The statistical analysis was performed using SPSS for Mac version 21.0 (SPSS Inc., Chicago, IL). The relationship between EBV DNA level or tumor response after PCT and the clinical patient characteristics of NPC were evaluated using the χ2 test and Fisher’s exact test. Kaplan–Meier survival curves were used to estimate the OS curves; survival rates were compared using the log-rank test. Step-wise multivariate analyses using Cox proportional hazard model were performed with the following variables: post-PCT EBV DNA level, tumor response to PCT, sex, age, T stage, N stage, metastatic site, chemotherapy regimen and LRRT. All analyses were 2-side. The level of significance was set at P < 0.05.
Spss for mac version 21
Manufactured by IBM
Sourced in United States
SPSS for Mac version 21.0 is a statistical software package designed for data analysis on macOS. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is capable of handling a wide range of data types and supports a variety of statistical techniques, including regression, correlation, and hypothesis testing.
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Lab products found in correlation
27 protocols using spss for mac version 21
1
Prognostic Factors in Nasopharyngeal Carcinoma
2
Genetic and Metabolic Determinants of TLRs
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Descriptive data of normally distributed variables are reported as the mean ± SD, while binary data as percent frequency. Distribution normality was assessed with the Shapiro–Wilk test. Differences between groups were compared using an unpaired t-test when clinical and biological data were expressed as continuous variables, and the χ2 test for categorical variables. Relationships between paired parameters were analyzed by the Pearson product moment correlation coefficient. Linear regression analysis was performed to test the relationship between TLRs and NF-kβ with some independent covariates (age, gender, BMI, SBP, LDL- and HDL-cholesterol, triglyceride, insulin sensitivity indices, 1-h post-load glycemia, creatinine, e-GFR, and hypertensive status). Successively, variables reaching statistical significance and gender, as dichotomic value, were inserted in a stepwise multivariate linear regression model to determine the independent predictors of TLRs and NF-kβ in the whole study population and in the two groups of NGT hypertensive patients. Differences were assumed to be significant at two-tailed p values < 0.05. All calculations were done with a standard statistical package (SPSS for Mac version 21.0, Chicago, IL, USA).
3
PD-L1 Expression in Endometrial Cancer
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Statistical analysis was performed using Statistical Package for Social Science (SPSS for MAC version 21.0, SPSS Inc., Chicago, IL, USA). All demographic data were expressed as mean with standard deviations. Categorical data were expressed as numbers of subjects and percentages. Chi-square test were used to compare PD-L1 expression between non-neoplastic endometrium and endometrium cancer, and to study the associations between PD-L1 expression and clinicopathological data. A value of p < 0.05 is considered as statistically significant.
4
Statistical Analysis of Surgical and Endovascular Treatments
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The statistical analysis was performed using SPSS for Mac, version 21.0 (SPSS, Inc., Chicago, IL). All clinical characteristics were grouped to build categorical or nominal variables. Dichotomous variables were recorded as absolute frequencies (number of cases) and relative frequencies (percentages). All outcome parameters between surgical and endovascular treated patients were analyzed as treated. The primary technical success for endovascular treatment was analyzed on an intention to treat basis. Continuous data were presented as mean and standard deviation if not indicated otherwise. Univariate examination relationships were performed with a χ2-test. A two-sided p value < 0.05 was considered statistically significant.
5
Personality Traits Analysis of Clusters
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Statistical analyses were performed using SPSS for Mac, version 21.0. Descriptive statistics were calculated to summarize the data. Between-group and between-cluster differences were investigated by performing independent-sample t-tests and χ2 statistics when appropriate. K-means clustering was used for cluster analysis, assuming two clusters a priori. All the TCI dimensions were included in the model. Due to the small sample size, discriminant function analysis was selected to check the goodness of fit of the model that the cluster analysis found and to profile the clusters. All statistical tests were two-tailed with alpha set at 0.05.
6
Ocular Biometrics in Nonparametric Analysis
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One eye was randomly chosen for each patient. The biometric data measured were entered into an Excel spreadsheet (Microsoft Office 2010; Microsoft, Redmond, WA). The statistical analysis was performed according to E9 guidelines of the ICH principles of statistics for clinical trials, using SPSS for Mac (version 21.0, Chicago, IL). The normality of the data was accessed with the Kolmogorov–Smirnov test. Since none of the studied variables had a normal distribution, nonparametric statistics were used. The Mann–Whitney U test was used for comparisons between groups. Correlations were performed using the Spearman coefficient. Regression models considering age, gender, LT, and CD were constructed to determine associations with the most relevant ocular biometric parameters (AL, ACD, and K). The results are expressed as the parameter mean value ± standard deviation (SD), and those with a value of p < .05 were considered statistically significant.
7
Thoracic Pain and Lung Function
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Data were analysed using SPSS for Mac version 21.0. All continuous data were tested for normality and are shown as mean (SD). Frequencies were used to describe the prevalence of pain generally and the prevalence of pain in each location. Demographic and clinical characteristics were compared between participants with and without thoracic pain. Chi square tests were used to compare categorical data between these two groups. Independent sample T-tests or Mann–Whitney U tests were used for continuous variables, according to the variable distribution. The correlations between the severity of thoracic pain and FEV1, FRC, RV, and TLC as percentages of their predicted values, was determined using Pearson correlation coefficients and are shown in scatter plots. Because of multiple comparisons, a p-value ≤0.01 was considered statistically significant.
8
Comparison of Clinical and Biological Data
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Descriptive data are presented as the mean ± SD for normally distributed variables, and binary data as percent frequency. Distribution normality was assessed with the Shapiro–Wilk test. Groups were compared using an unpaired t-test when clinical and biological data were expressed as continuous variables and the χ2 test for categorical variables. Correlational analyses were performed using the Pearson's test. Differences were assumed to be significant at two-tailed P-values < 0.05. All calculations were done with a standard statistical package (SPSS for Mac version 21.0, Chicago, IL, USA).
9
Antithrombotic Regimens and ICH Risk
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Statistical analyses were performed with SPSS for Mac version 21.0 (IBM Corp., Chicago, IL), MySQL (Oracle), or R Statistical Software version 3.1. Due to multiple comparisons the statistical significance level was defined as P≤0.001. Age and sex adjusted incidence rates for the different drug exposures were computed using the method of direct standardization with the complete study population provided by NPR and NorPD as the reference population. Direct standardization was used to reduce the effect of potential confounders (i.e. age and sex distribution) that differ between the populations. Hazard ratios (HR) with 95% confidence intervals (CI) for ICH were estimated using Cox regression models with adjustments for age, sex, concomitant drugs, and comorbidity. The time variable in the Cox model was patient age. Case fatality was investigated at 90 days in addition to an analysis of overall survival until 12 months following ICH. For all outcome measures the statistician was blinded to drug exposure. Outcomes are presented only for antithrombotic regimens with ≥5000 users during the study period.
10
Predictors of Long-term Outcomes
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Continuous variables with normal distribution were summarized as means and standard deviations, and those without normal distribution were summarized as medians and ranges. A simple exploratory analysis using a Cox model was performed for the first-year and long-term outcomes, and all the variables emerging as significant were entered into a multiple model to estimate hazard ratios (HRs) and 95% CIs predicting the impact of the studied variables. The resulting HRs and adjusted HRs for each variable were compared to check for differences in magnitudes that could indicate modifying effects and/or confounders. The proportional hazards assumption was verified using Schoenfeld residuals. Kaplan–Meier survival analysis was applied to estimate disease-free survival related to sexual maturity. Differences were considered statistically significant when the P values were below 0.05. The analyses were performed using SPSS® for Mac, version 21.0 (IBM Corp.).
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