Following the KYRBS data analysis guidelines, complex sample data analysis was conducted using the corrections for strata, cluster, weight, and a finite population. All analyses included the use of weighted variables. A Rao-Scott χ2 test was conducted to examine the relationship between variables. To identify the characteristics of factors affecting eating disorders in adolescents and to evaluate the effects of eating disorders on subjective health and oral health, variables with p-values < 0.05 in univariate analysis were selected as independent variables by correcting for sex, age, and BMI. As a result, multiple logistic regression was performed. Differences with p-values <0.05 were considered significant. All data were analyzed by IBM SPSS Statistics program version 21.0 (SPSS, Chicago, IL, USA).
Spss statistics program version 21
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SPSS Statistics program version 21.0 is a software package used for statistical analysis. It provides tools for data management, analytical reporting, and modeling. The program is designed to handle a wide range of data types and can perform a variety of statistical analyses, including regression, correlation, and hypothesis testing.
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Lab products found in correlation
12 protocols using spss statistics program version 21
1
Eating Disorders and Adolescent Health
2
Evaluating Spinal Procedure Outcomes
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All statistical analyses were performed using the SPSS Statistics program, version 21.0 (IBM Corp, Armonk, NY). Demographic data of the patients were analyzed using the chi-squared test and Fisher’s exact test. The success or failure of the procedure was analyzed using the Fisher’s exact test. In addition, a linear mixed model analysis was used to determine the differences in NRS and ODI scores at the following time points: before the procedure and immediately and 1 and 3 months after the procedure. A p-value < 0.05 was considered statistically significant.
3
Statistical Analysis Methods for Biological Replicates
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All the experiments were done using three to four technical replicates depending on the assay and repeated two to three times (biological replicates) to confirm the results. Different cultures of bacteria and different passages of cell lines were used in the separate experiments. The following tests were used to compare samples within an experiment. A two-sample t-test was used to determine significant differences as compared to the control. Homoscedasticity testing was performed with Levene’s test to identify equal or unequal variances. A paired-sample t-test was used for pre- and post-FMT samples. Statistical differences between the samples were tested with one-way analysis of variance using a Bonferroni post hoc. All statistical analyses were carried out with IBM SPSS Statistics program version 21.0 (IBM Corporation, USA). A p-value of <0.05 was considered statistically significant.
4
Evaluation of Antioxidant Capacity
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All data are represented as the mean ± standard deviation (SD). Measurements were performed in triplicate. One-way analysis of variance (ANOVA) and Duncan’s multiple-range test (p < 0.05) were performed using the IBM SPSS statistics program, version 21.0 (IBM Inc., Armonk, NY, USA).
5
COVID-19 Survival Factors and Outcomes
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Results for continuous and categorical variables are reported as median and interquartile range and number (percentage), respectively. Differences between survivors and nonsurvivors, patients admitted to the hospital and those who were not, and those classified as severe and mild cases were examined using the Mann-Whitney U test and the χ2 test for continuous and categorical variables, respectively. Multiple logistic regression was carried out to assess factors associated with mortality. We explored and found association between the tools that explore functional domains (ie, CFS and BI), through Spearman's rho correlation test, including only the CFS in the multiple logistic regression. Therefore in the model, the mortality was adjusted for age, sex, hospital admission, CFS ≥6, dementia, hypertension, COPD, sleep apnea syndrome, dyspnea, epileptic seizures, abdominal pain, cough, anosmia, and severe case. Finally, Kaplan-Meier curves were made for overall survival and for the main factors associated with mortality, applying a log-rank Mantel-Cox test. The existence of statistical significance was considered when the P value was less than .05. The analysis was performed with IBM SPSS Statistics program version 21.0 (IBM Corp., Armonk, NY).
6
Assessing Bacterial Adhesion and Attenuation
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All the adhesion and attenuation experiments were done using three to four technical replicates depending on the assay and repeated two to four times (biological replicates) to confirm the results. Different cultures of bacteria and different passages of cell lines were used in the separate experiments. A two-sample t-test was used to determine significant differences between a sample and the control. Homoscedasticity testing was performed with Levene’s test to identify equal or unequal variances. Point biserial correlation was calculated between the attenuation capacity as the dichotomous variable and adhesion or TER as the continuous variable. All statistical analyses were carried out with IBM SPSS Statistics program version 21.0 (IBM Corporation, New York, NY, USA) with a p-value of <0.05 considered statistically significant.
7
Skewed Data Analysis in SPSS
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Statistical analyses were performed with the SPSS Statistics program version 21 (IBM Corp., Armonk, NY, USA). Data are shown as medians and ranges or as frequencies. The Kolmogorov–Smirnov test demonstrated that the variable distribution was skewed, so the Wilcoxon's signed rank test was used to compare the different groups. P ≤ 0.05 was considered statistically significant.
8
Rhabdomyosarcoma Molecular Profiling
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Statistical analysis was performed using IBM SPSS Statistics program version 21 (SPSS Inc., Chicago, IL, USA) using a two-sample t-test, Mann-Whitney U test, Fischer’s exact test, and Spearman rank correlation. We compared the expression of all cases in relation to PAX-FOXO fusion status, time of sampling (primary, during treatment, recurrent), risk stratification, and survival. Risk stratification was performed according to the classification of Intergroup Rhabdomyosarcoma Study Group (IRSG) [26 ]. p < 0.05 was considered as statistically significant.
The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics and Scientific Committee of Semmelweis University (project identification code: TUKEB 99/2018, approval date: 18.06.2018.).
The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics and Scientific Committee of Semmelweis University (project identification code: TUKEB 99/2018, approval date: 18.06.2018.).
9
Pavlovian Conditioned Approach Behavior Analysis
10
Statistical Assessment of Professional Commitment
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The statistical assessment of the data collected was completed using the IBM SPSS Statistics Program, Version 21 (SPSS Inc., Chicago, USA). Along with the descriptive analyses of the total sample, group differences between the categories of professionals ordering commitment were analyzed. Categorical variables were compared between subsamples using cross-tables and Chi-Square-Tests following Pearson, continuous variables were compared using mean comparisons with T-Test. Results with a p-value of less than 0.05 were considered significant.
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