The SPSS program for Windows (version 22.0) was utilized to process the analysis. Continuous variables of clinical characteristics were presented as mean±S.D. Differences between groups were evaluated by t-test, chi-square test or Wilcoxon rank-sum test. Data of non-normal distributions were logarithmically transformed before statistical analysis. Pearson or Spearman correlations were conducted to analyze the associations between two variables. Variables that were significantly related to the objective variable were tested for independence using multivariate linear regression analysis. The risk factors of central obesity were evaluated by logistic regression. The accuracy of anthropometric parameters to predict central obesity was evaluated by using receiver operator characteristic (ROC) curve analysis. The specificity and sensitivity of MUAC were calculated for each cut-off point in the sample. P value below 0.05 was examined statistically significant.
Spss program for windows version 22.0
Manufactured by IBM
Sourced in United States
SPSS (Statistical Package for the Social Sciences) is a software program for Windows (version 22.0) designed for statistical analysis. It provides tools for data management, analysis, and presentation of results.
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Lab products found in correlation
3 protocols using spss program for windows version 22.0
1
Anthropometric Predictors of Central Obesity
2
Perforation Detection Threshold Analysis
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Statistical analysis was performed with the SPSS program for Windows version 22.0 (SPSS Inc., Chicago, Illinois, USA). Descriptive statistics (mean, SD, median, minimum, and maximum) for numerical variables and frequency distributions for categorical variables were reported. The Student-T test was applied to compare the normally distributed parameters between the two groups. The threshold level for the presence of perforation was determined using the receiver operating characteristic (ROC) test. P<0.05 was considered statistically significant.
3
Predictors of Extrahepatic Cystic Duct Junction
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Statistical analysis was accomplished using the SPSS program for Windows, version 22.0 (SPSS, Chicago, Illinois, United States). The Mann-Whitney's U test was used to compare the continuous data. Fisher's exact test was used to compare the categorical data. A binary logistic regression was used to predict EJC. Independent variables included operative surgeon, sex, age, malformation, cystic change, preoperative bilirubin level, and operation time. The survival curve was established according to the Kaplan-Meier's method and compared by the log-rank test. A p < 0.05 was considered statistically significant.
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