Data were analyzed using the Statistical Packages for Social Sciences for Windows version 11.5 pocket program (IBM Corp., Chicago, IL, USA). For intergroup comparisons, the Chi-square test and Fisher’s exact test were used to analyze nominal data and the t-test for independent samples was used for quantitative data. Data were expressed as means ± SD for continuous variables and numbers, and percentages for categorical variables. The value of p<0.05 was considered significant.
Statistical packages for social sciences for windows version 11.5 pocket program
Manufactured by IBM
Sourced in United States
Statistical Packages for Social Sciences for Windows version 11.5 is a pocket program that provides core statistical analysis functions. The program enables users to perform basic statistical computations and data management tasks.
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Lab products found in correlation
2 protocols using statistical packages for social sciences for windows version 11.5 pocket program
1
Statistical Analysis of Quantitative and Categorical Data
2
Statistical Analysis of Missing Data
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All records were analyzed for missing data. The patient who had partially missing data and was lost to follow-up after the intervention was excluded from the study. The data were analyzed using the Statistical Packages for Social Sciences for Windows version 11.5 pocket program (IBM Corp., Chicago, IL, USA). For intergroup comparisons, the Chi-Square test and Fisher's exact test were used to analyze nominal data, and the t-test for independent samples was used for quantitative data. Data were expressed as mean ± SD for continuous variables and numbers, and percentages for categorical variables. The value of p < 0.05 was considered significant.20
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