Spss statistics for mac

Clinical data were collected prospectively according to a standardized protocol. SPSS Statistics for Mac (Version 21, SPSS) was used for statistical analysis. Interdependence between stainings and clinical data was calculated using the chi-squared and Fisher’s exact tests, and displayed by cross-tables. Group differences were calculated by the t-test or ANOVA, respectively. Univariate cox-regression analysis was performed for determination of interdependence between survival time and number of T-cells in the tumor. Survival curves were plotted using the Kaplan–Meier method and analyzed using the log-rank test. All tests were two-sided. P values < 0.05 were considered statistically significant.

Statistical analysis was done using SPSS Statistics for Mac. The Chi-squared test was used to determine the impact of ethnicity, gender, and age on a complete CoW and its variant patterns. Data were demonstrated using tables, charts, and graphs.

For analysis of data, patients were divided into two groups based on CS (circular stapler) size (“small” = 25 mm circular stapler and “large” = 28 mm circular stapler). In addition, a subgroup analysis of patients who underwent a totally minimally invasive and a robotic esophagectomy was performed. Continuous variables are presented as means and range. Categorical data are presented as numbers and percentages. Student’s t-test (for continuous variables) and Fisher’s exact test (for nominal or categorical variables) were used for all bivariate analyses. Independent predictors of anastomotic leak were identified by a multivariate logistic regression analysis. All tests were two-sided, with statistical significance set at p ≤ 0.05. Data were analyzed by GraphPad Software (San Diego, CA, USA) and SPSS Statistics for Mac (version 21, SPSS).

Clinical data were collected prospectively according to a standardized protocol. For statistical analysis, SPSS Statistics for Mac (Version 21, SPSS) was used. Interdependence between staining and clinical data was calculated using the chi-squared and Fisher’s exact tests and displayed by cross-tables. Survival curves were plotted using the Kaplan-Meier method and analyzed using the log-rank test. The heatmap for visualization was generated via Microsoft Excel for Mac; it is considered to visualize the heterogeneity within the tumor and is not a heatmap as commonly used for gene signatures (e.g., next-generation-sequencing (NGS)). Univariate and multivariate analyses were performed for prognostic factors of overall survival, using the Cox regression model. All tests were two-sided; P values < 0.05 were considered statistically significant.

SPSS Statistics for Mac (Version 21, SPSS) was used for statistical analysis. Interdependence between stainings and clinical data were calculated using the chi-squared and Fisher’s exact tests, and displayed by cross-tables. Survival curves were plotted using the Kaplan–Meier method and analyzed using the log-rank test. All tests were two-sided. p values < 0.05 were considered statistically significant.

Clinical data were collected prospectively according to a standardised protocol. SPSS Statistics for Mac (Version 21, SPSS) was used for statistical analysis. Interdependence between staining and clinical data were calculated using the chi-squared and Fisher’s exact tests and displayed by cross-tables. Survival curves were plotted using the Kaplan–Meier method and analysed using the log-rank test. Univariate and multivariate analyses were performed for prognostic factors of overall survival using the Cox regression model. All tests were two-sided. p values < 0.05 were considered statistically significant.