All of the data were entered into a Microsoft Excel (Microsoft Corp., Redmond, Washington, USA) spreadsheet, classified and analyzed by two of the authors, and mutually checked. The data were also entered into SPSS statistical software, version 17.0 for Windows (SPSS Inc., Chicago, Illinois, USA) for statistical analysis. The χ2 test and Fisher’s exact test were used for categorical variables, with P<0.05 was considered statistically significant.
Spss statistical software version 17.0 for windows
Manufactured by IBM
Sourced in United States
SPSS statistical software version 17.0 for Windows is a comprehensive software package designed for statistical analysis. It provides a wide range of tools and functions for data management, analysis, and visualization. The core function of SPSS is to enable users to perform advanced statistical techniques, such as regression analysis, hypothesis testing, and data modeling, on their research data.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using spss statistical software version 17.0 for windows
1
Statistical Analysis of Experimental Data
2
Evaluating Submicroscopic Malaria with IPTp-SP
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All data was entered into SPSS statistical software version 17.0 for Windows and analyzed. Frequencies and Pearson's chi-square were used to compare relationships between variables. To determine the independent effect of IPTp-SP on submicroscopic malaria, logistic regression modeling was applied. Possible confounding factors such as gestation, occupation, gravidity, G6PD, and sickling status were controlled. Odds ratio (OR) and confidence interval (CI) were calculated by using logistic regression in multivariate analyses. In the logistic regression analysis, all variables were treated as categorical except gestation and gravidity that were treated as categorical. For all statistical tests, p < 0.05 was considered significant.
3
Genetic Epidemiological Analysis
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Epidata 3.02 software was used to manage the study data and the double entry method was used for data entry and logical error detection. Hardy-Weinberg balance was calculated to confirm the group representation of samples and SPSS statistical software version 17.0 for Windows was used for all data analysis. Descriptive statistics were calculated to characterize the participants and study variables. The gene counting method was used to calculate the genotype and allele frequencies, chi-square testing was used for comparisons between groups, and t-testing was used to assess clinical variables between groups. Logistic regression analysis was used to assess risk factors, for which odds ratios (ORs) and 95%CI were calculated.
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