Descriptive data are presented as mean ± standard deviation for continuous variables or absolute and relative frequency for categorical variables; time between procedures is presented as median, minimum and maximum. Kaplan–Meier function and log-rank tests were used to assess probability of change in at least one preoperative test and in each individual test and to compare the rates of changes in these tests between the variables of interest. Cox proportional hazards models were used to evaluate the joint association of all variables of interest with any and each change in preoperative tests. The postoperative outcome and surgical time association with changes in any test and in each individual test was estimated using Fisher and likelihood ratio tests. A p-value < 0.05 was considered significant for all analyzes. Analyzes were performed using the SPSS program for Windows version 20.0 (IBM, Armonk, New York, USA).
Spss program for windows version 20
Manufactured by IBM
Sourced in United States
SPSS program for Windows version 20.0 is a statistical software package that provides data analysis and predictive modeling capabilities. It is designed to handle a wide range of data types and offers a variety of statistical techniques, including regression analysis, factor analysis, and clustering. The program is intended to assist users in identifying trends, testing hypotheses, and making informed decisions based on data.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using spss program for windows version 20
1
Preoperative Test Changes Analysis
2
Statistical Analysis of Research Data
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Statistical analysis was performed using the IBM SPSS program for Windows version 20.0 (IBM Corp., Armonk, NY, USA). All data are expressed as mean ± standard deviation. The Mann–Whitney U test for intergroup comparisons and Wilcoxon signed-rank test for intragroup comparisons were used. P<0.05 was considered statistically significant.
3
Statistical Analysis of Patient Data
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Demographic, clinical and laboratory data of the patients were analyzed using SPSS program for windows version 20.0 (IBM, USA). Categorical variables were analyzed using the chi-square test. P-values of < 0.05 were considered statistically significant.
4
Statistical Analysis of Clinical Data
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Demographic, clinical, and laboratory data analyses were carried out using SPSS program for windows version 20.0 (IBM, USA). P≤0.05 were considered statistically significant.
5
ANOVA Analysis of Research Data
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Data were analysed by (SPSS program for windows, version 20) (SPSS Inc., Chicago, IL, USA). The difference between groups was made using One Way ANOVA (LSD) test. The data were presented as means ± SD. The p < 0.01 was considered as statistically significant.
6
Statistical Analysis of Quantitative and Qualitative Data
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Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) program for Windows, version 20 (SPSS Inc., Chicago, Illinois, USA). The Mann-Whitney U test was used to compare 2 quantitative variables, while the Kruskal-Wallis test was used to compare more than 2 variables; one-way ANOVA was used to compare one qualitative variable and one quantitative variable, and the Pearson χ 2 test was used to compare qualitative data. A two-tailed p-value was considered statistically significant when ≤ 0.05. Kaplan-Meier plots and logrank tests were used to evaluate OS data.
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