Data were analyzed using IBM SPSS Statistics ver. 21.0 for Windows (IBM Co., Armonk, NY, USA). Variation in urease-test positivity, histopathologic findings, and gastric pH depending on age group was evaluated. Statistically significant differences in urease-test positivity and gastric pH among the 3 age groups and in urease-test positivity and the degrees of chronic and active gastritis and H. pylori infiltration between those with normal gastric pH and hypochlorhydria were determined by the χ2 test and generalized linear models. Nonparametric tests were used to analyze the mean gastric juice pH in different age groups. p-values of <0.05 were considered statistically significant.
Spss statistics ver 21.0 for windows
Manufactured by IBM
Sourced in United States
SPSS Statistics ver. 21.0 for Windows is a software package developed by IBM for statistical analysis. It provides tools for data management, statistical modeling, and reporting. The software is designed to handle a wide range of data types and supports a variety of statistical procedures, including regression analysis, hypothesis testing, and multivariate techniques.
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Lab products found in correlation
4 protocols using spss statistics ver 21.0 for windows
1
Gastric pH and H. pylori in Age
2
Statistical Analysis of Gene and Protein Expression
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The gene and protein expression data were analyzed by one-way analysis of variance (ANOVA), using IBM® SPSS® Statistics ver. 21.0 for Windows (IBM, Armonk, NY, USA). Significant differences between two groups were determined using Student’s t-test, whereas differences among three or more groups or time points were determined by one-way ANOVA, followed by Tukey’s honestly significant difference test. All data are expressed as mean ± standard deviation. Values of * p < 0.05 were considered statistically significant, and for multiple comparisons, statistical differences among the groups are indicated using ‘a, b, and c’.
3
Statistical Analysis of Patient Data
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Data from group D and non-group D patients were compared using a Student t-test for normally distributed data, and differences in population proportions were analyzed using the χ2 test. A p-value of less than 0.05 was considered statistically significant. IBM SPSS Statistics ver. 21.0 for Windows (IBM Co., Armonk, NY, USA) was used for statistical analysis.
4
Predicting Academic Achievement with ABSI
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All data were analyzed with IBM SPSS Statistics ver. 21.0 for Windows (IBM Corp., Armonk, USA). One-way analysis of variance following least significant difference (LSD) post hoc tests, Pearson’s correlations, multiple stepwise linear regression analysis, and k-means clustering analysis were performed to determine whether the ABSI predicted academic achievement in the medical schools. Values were considered statistically significant when p<0.05.
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