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Spss statistical software package version 18

Manufactured by IBM
Sourced in United States

SPSS statistical software package version 18.0 is a comprehensive system for analyzing data. It provides a wide range of statistical procedures for data management, data transformation, and data visualization.

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Lab products found in correlation

34 protocols using spss statistical software package version 18

1

Statistical Analysis of Discrete and Interval Variables

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Discrete variables were analyzed by the chi-squared test, whereas interval/ratio variables were analyzed using Student’s t-test or the Mann–Whitney U test. P values of <0.05 were considered statistically significant. All statistical analyses were performed using the SPSS statistical software package version 18.0 (SPSS Inc., Chicago, IL, USA).
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2

Epidemiological and Virulence Factors in H. pylori

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Data were analyzed by a two by two table statistics and chi-square test to determine the association between H. pylori positivity and epidemiological risk factors, as well as virulence factors and gastroduodenal disease diagnosis using the SPSS statistical software package version 18.0 (SPSS, Inc., Chicago, IL) and Open Source Epidemiology Statistics for Public Health Version 3.01. P values < 0.05 were considered statistically significant.
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3

Epidemiology of Chronic Fatigue Syndrome

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The annual incidence rate and prevalence of CFS, including 95% confidence intervals, were calculated by the number of recorded diagnosis cases divided by the number in the entire general population for each corresponding year. Subsequently, the overall rate with a 95% confidence interval (95% CI) per 100,000 patients was calculated. The data for the whole population were obtained from the Korean Statistical Information Service [16 ]. Statistical analyses of any differences between males and females were conducted by the Mann–Whitney U test with the SPSS statistical software package version 18.0 (SPSS Inc., Chicago, IL, USA).
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4

H. pylori Genotypes and Clinical Outcomes

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Discrete variables were tested using a chi-square test (the prevalence of H. pylori, demographics and sanitation status, and genotypes vs. regions or diagnosis). The difference of histologic score and IL-8 levels between genotypes were tested using the Mann-Whitney U test. A multivariate logistic regression model was used to calculate the odds ratios (OR) of the clinical outcomes. All determinants with P values less than 0.10 were entered together into the full logistic regression model, and the model was reduced by excluding variables with P values greater than 0.10. OR and a 95% confidence interval (CI) was used to estimate the risk. A P value less than 0.05 was accepted as statistically significant. The SPSS statistical software package version 18.0 (SPSS, Inc., Chicago, IL) was used for all statistical analyses.
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5

Statistical Analysis of Experimental Data

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SPSS statistical software package version 18.0 (SPSS Inc, Chicago, IL, USA) was used for statistical analysis. Statistical analysis was performed using t test or one-way analysis of variance with post hoc comparisons using the least significant differences t test. P values < 0.05 were considered statistically significant. All data in this study are given as mean ± standard deviation.
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6

Evaluating Factors Influencing H. pylori Outcomes

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Discrete variables were tested using the chi-square test, whereas continuous variables were tested using the Mann-Whitney U and t-tests. A multivariate logistic regression model was used to calculate the odds ratios (OR) of clinical outcomes including age, sex, H. pylori antibiotic resistance, ethnicity, and location. All determinants with P values < 0.10 were entered together into the full logistic regression model. The OR and 95% confidence interval (CI) were used to estimate risk. A P value of < 0.05 was accepted as statistically significant. The SPSS statistical software package version 18.0 (SPSS, Inc., Chicago, IL) was used for all statistical analyses.
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7

Gastric Cancer Risk Factors Analysis

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Discrete variables were tested using the chi-square test; continuous variables were tested using the Mann-Whitney U and t-tests. A multivariate logistic regression model was used to calculate the odds ratios (OR) of the clinical outcomes that included age, sex, H. pylori infection status, demographic and environment information. All determinants with P values of < 0.10 were entered together into the full logistic regression model, and the model was reduced by excluding variables with P values of > 0.10. The OR and 95% confidence interval (CI) were used to estimate the risk. A P value of < 0.05 was accepted as statistically significant. The SPSS statistical software package version 18.0 (SPSS, Inc., Chicago, IL) was used for all statistical analyses.
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8

Comparative Analysis of Clinic and Home Blood Pressure

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Statistical analyses were performed using the SPSS® statistical software package version 18.0 (SPSS Inc., Chicago, IL, USA) for Windows10®. The findings of the study were summarized in tables, with the representation of continuous variables as the mean and standard deviation. Categorical variables were reported as numbers and percentages, and the chi-square test was used for comparisons. The comparison in this study focused on male and female patients, considering various factors such as age, body mass index (BMI), nationality, smoking status, newly diagnosed hypertension, and whether medication was adjusted in a home or clinic setting. Matrix correlation was used to determine the associations between clinic SBP/DBP and other clinic/home blood pressure variables. The mean difference between the CBP and HBP results was calculated, and Cohen’s d test was used to determine the effect size. Additionally, further analyses were performed to evaluate the difference between the systolic and diastolic blood pressure measurements conducted in the clinic and at home. Statistical significance was set at a p-value of less than 0.05.
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9

Evaluating Virulence Factors in H. pylori

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Discrete variables were tested using the chi-square test; continuous variables were tested using the Mann-Whitney U and t-tests. A P value of < 0.05 was accepted as statistically significant. The SPSS statistical software package version 18.0 (SPSS, Inc., Chicago, IL) was used for all statistical analyses. The Somers’d rank coefficients (r) were determined to evaluate the association between the iceA, jhp0562/β-(1,3)galT genotype with other virulence factors.
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10

Gastric Mucosal Inflammation and Atrophy Assessment

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Discrete variables were tested by using the chi-square test; continuous variables were tested with the Mann–Whitney U and Kruskal–Wallis test. The Spearman rank coefficients (r) were determined to evaluate the association between PG levels and gastric mucosal inflammation and atrophy. A multivariate logistic regression model was used to calculate the ORs of the clinical outcomes by including age, sex, NSAID use, alcohol drinking, smoking, H. pylori infection, and gastritis type. All determinants with P < 0.10 were entered together in the full model of logistic regression, and the model was reduced by excluding variables with P > 0.10. The OR and 95% confidence interval (CI) were used to estimate the risk. P < 0.05 was accepted as statistically significant. Receiver-operating characteristic (ROC) curves were used to calculate the best cutoff, including the area under curve (AUC) and predictive values for discriminating chronic and atrophic gastritis. The SPSS statistical software package version 18.0 (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses.
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