Spss software package for windows version 22

Statistical analysis of the present study was done using the SPSS software package for Windows version 22.0 (SPSS Inc., Chicago, IL). Mean/median/mode with respective intervals were used to express coronary vessel dimensions and percentages. This helped for presenting categorical data. Coronary artery diameters were indexed (adjusted) to BSA using the formula, mean CAM in mm/BSA m² (mean diameter mm/m² BSA). Independent t-test, and analysis of variance (ANOVA) were used for metric data. Post-hoc tukeys test was used for multiple comparisons. Independent variables were gender and BMI and dependent variables were coronary vessel size and CAD.

Statistical analysis was processed using the SPSS software package for Windows, Version 22 (IBM Corporation, Armonk, NY). The demographic and perioperative characteristics were summarized using descriptive analyses, and all qualitative values are presented as mean ± SD unless stated otherwise. The Student t test or Mann–Whitney U test was used for continuous variables, whereas the and Pearson χ² test was used for categorical variables. All P values <0.05 were considered statistically significant. The Kaplan–Meier estimator was used for survival estimation and the log-rank test was used for survival comparison. Cox proportional hazard regression modeling was conducted to examine the strength of association between the covariates and survival time. All analyses were performed using a 2-tailed a-value of 0.05, and either P < 0.05 or the 95% confidence interval (CI) was considered to indicate a statistically significant value.

Statistical analysis was processed using the SPSS software package for Windows, version 22 (IBM Corporation, Armonk, NY, USA). The demographic and perioperative characteristics were summarized using descriptive analyses, and all qualitative values are presented as median and interquartile range (IQR) unless stated otherwise.

All statistical analyses were conducted using the SPSS software package for Windows, Version 22 (SPSS Inc., Chicago, USA) and STATA version 11 (STATA Corporation, College Station, TX, USA). Continuous variables were presented as mean ± standard deviations or median and interquartile range (IQR). Qualitative variables are presented as numbers and percentages.
The Kaplan–Meier method was used to calculate observed survival, while log-rank statistics was used to compare the differences in survival curves. Furthermore, multivariate Cox proportional hazards regression analysis was performed to determine the influence of the programs and factors affecting cessation survival rate. Variables of P < 0.2 provided a basis for the proportional hazard assumptions and were entered into the Cox regression model using a forward likelihood ratio method. All probability tests were two-tailed with a P < 0.05 was considered statistically significant.
In this study, recitative smoking was considered as a countable event and inpatients that died or remained nonsmokers until the end of study were considered as censor. Variable time to event was assessed based on the moment that inpatients entered to study until the moment they started (or did not start) smoking again.