To assess the difference and correlation between a set of nonparametric data, the Kruskal‒Wallis test followed by Dunn’s multiple comparison test was performed, except when analysing keratinization, where the Mann–Whitney U-test was used. Additionally, correlation analyses were performed using Spearman’s rank correlation coefficient. All statistical analyses were performed using Prism 5 software (GraphPad software, La Jolla, CA, USA). p ≤ 0.05 was considered significant. To determine the diagnostic value of serum galectin-9 to discriminate between controls, LSIL, HSIL and CC patients, receiver operating characteristic (ROC) curves were generated using SPSS statistical software version 26 (IBM; Armonk, NY, USA).
Spss statistical software version 26
Manufactured by IBM
Sourced in United States, Japan
SPSS Statistics is a software package used for statistical analysis. Version 26 includes data management, statistical modeling, and reporting tools. The core function is to provide users with capabilities for data analysis, data manipulation, and presentation of results.
Automatically generated - may contain errors
Lab products found in correlation
Prism 5, by GraphPad (2 mentions)
Prism 8, by GraphPad (2 mentions)
Spss statistics for window, by IBM (1 mentions)
Statistical software version 20, by MedCalc (1 mentions)
R statistical software version 4, by R Project for Statistical Computing (1 mentions)
Online calculator, by Raosoft (1 mentions)
Originpro 8, by OriginLab (1 mentions)
Prism version, by GraphPad (1 mentions)
R software, by R Project for Statistical Computing (1 mentions)
Prism 6, by GraphPad (1 mentions)
Jmp 14, by SAS Institute (1 mentions)
Stata version 15, by StataCorp (1 mentions)
R version 4, by R Project for Statistical Computing (1 mentions)
Prism version 6, by GraphPad (1 mentions)
R version 3, by R Project for Statistical Computing (1 mentions)
181 protocols using spss statistical software version 26
1
Evaluating Serum Galectin-9 Diagnostic Value
2
Cytokine and Histopathological Responses to Stress
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A two-way ANOVA was used to analyze histopathology scores, colonic cytokine gene expression, colonic cytokine levels, and serum cytokine levels with stressor exposure (HCC, FWD, and RST) and sex (male vs. female) as the between subject’s variables. Statistical outliers were removed from the data set based on the criteria of greater than two standard deviations from the mean. An alpha level of p < 0.05 was set as the rejection criteria for the null hypothesis. All data were analyzed using SPSS statistical software version 26 (IBM Corp, Armonk, NY, USA).
3
Temporal Effects of Exercise on Plasma Biomarkers
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All statistical analyses were carried out with SPSS statistical software version 26 (IBM Japan, Tokyo, Japan). The average value and standard deviation were calculated for all measures.
Elapsed time (within conditions) and the presence or absence of acute exercise (between conditions) were factors for investigating the temporal effects of exercise on the plasma Hcy concentration, blood non-mercaptoalbumin/mercaptoalbumin ratio, plasma vitamin B2 concentration, and plasma folic acid concentration. A two-way analysis of variance (ANOVA) was performed using repeated measurements. If a significant difference was found in the inter-condition comparison, a paired t-test or Wilcoxon signed-rank test was performed to identify the cause of the significant difference. If a significant difference was found in the intra-conditional comparison, a one-way ANOVA or Friedman test by repeated measurement was performed. All tests were two-sided, and the significance level was set at P = 0.05.
Elapsed time (within conditions) and the presence or absence of acute exercise (between conditions) were factors for investigating the temporal effects of exercise on the plasma Hcy concentration, blood non-mercaptoalbumin/mercaptoalbumin ratio, plasma vitamin B2 concentration, and plasma folic acid concentration. A two-way analysis of variance (ANOVA) was performed using repeated measurements. If a significant difference was found in the inter-condition comparison, a paired t-test or Wilcoxon signed-rank test was performed to identify the cause of the significant difference. If a significant difference was found in the intra-conditional comparison, a one-way ANOVA or Friedman test by repeated measurement was performed. All tests were two-sided, and the significance level was set at P = 0.05.
4
Cultural Factors and Neuropsychological Profiles
5
Eating Disorder Demographics in Clinical Trials
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In this cross-sectional study, we collected age, sex, race, ethnicity, and primary diagnosis data from ClinicalTrials.gov for completed interventional studies with results (including children and/or adults) from January 1, 2011, to January 1, 2021, using the term eating disorder. The search was conducted on September 5, 2021. We excluded studies conducted outside the United States. Race and ethnicity categories were prespecified by ClinicalTrials.gov.1 (link) Primary diagnoses were classified as anorexia nervosa (AN), bulimia nervosa (BN), BED, and other. Per the Common Rule, this study did not require institutional review board approval, as it was based on publicly available information. We followed Strengthening the Reporting of Observational Studies in Epidemiology (STROBE ) reporting guideline for cross-sectional studies and used SPSS statistical software version 26 (IBM Corp) for descriptive analyses.
6
Epidemiological Analysis of COVID-19 Outbreaks
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Statistical analyses were performed using SPSS statistical software version 26 (IBM) from December 2020 through January 2021. We used χ2 exact test to compare differences in clinical symptoms. One-way analysis of variances was used to detect differences in the mean age at diagnosis and mean length of hospital stay among patients in the 3 waves of outbreaks. The hospital admissions during the study period were presented as plots by admission dates. A 2-tailed P value less than .05 was considered statistically significant.
7
Quantitative and Qualitative Analysis of Student Data
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Data collected in Qualtrics were cleaned and exported to SPSS for analysis. Univariate, bivariate and multivariate analysis were conducted for quantitative data. Missing quantitative data were excluded from calculations. The IBM SPSS statistical software version 26 was used for the data analysis. Qualitative data were manually extracted from the SPSS database and themes were established using a thematic framework. Analyzed qualitative data are presented in verbatim quotations (in italics) to convey exactly what students said in explanation to certain questions.
8
Comparative Analysis of Cilento and Malmö
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Continuous variables are expressed as means ± standard deviation and were compared between the two populations with univariate statistics using independent samples t test, and in age- and sex-adjusted analyses, linear regression was used. For comparison of categorical variables between the two populations, chi-squared test was used in univariate statistics and logistic regression was used for corresponding multivariate models with disease prevalence (no = 0, yes = 1) as the dependent variable and living in Cilento or Malmö (Cilento = 0, Malmö = 1) (key exposure) along with other covariates, as specified in the results, as independent variables. A P value less than 0.05 was considered significant. SPSS statistical software version 26 (IBM, Chicago, IL) was used for all calculations.
9
Delirium Risk Factors Analysis
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Statistical analyses were performed using the IBM SPSS Statistical software version 26 (SPSS, Inc, Chicago, IL). A P < 0.05 was considered statistically significant. The demographic and clinical characteristics of patients with and without delirium were compared. Categorical variables are described as frequencies and percentiles. Continuous variables, such as age, are described as mean ± standard deviation. The analysis of specific risk factors associated with delirium was carried out using univariate analysis. Differences in categorical variables were tested by the Chi-square or the Mid-P exact tests, in accordance with the size of the cells. The Mann–Whitney U-test, or the Student t-test, was used to compare continuous data depending on the data distribution.
The study was approved by the Helsinki Committee of the Soroka Medical Center (SOR-0047-19) and the Ministry of Health Committee (Form 8, Request #201911315, dated November 4, 2019).
The study was approved by the Helsinki Committee of the Soroka Medical Center (SOR-0047-19) and the Ministry of Health Committee (Form 8, Request #201911315, dated November 4, 2019).
10
Investigating Intervention Outcomes through Statistical Analysis
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Statistical tests were conducted using the SPSS statistical software version 26 (IBM). Baseline demographic data were presented using count numbers and percentages. The outcomes for each group were presented in terms of mean and SE. The generalized estimating equation was adopted to identify the between-group, within-group, and interaction effects between time and group. The exchangeable working correlation matrix was used to emphasize the same spacing between repeated measurements for each participant. Intention-to-treat was used for the primary analysis. A result was significant at 2-tailed P < .05. Data were analyzed from May 1 to 10, 2022.
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