We conducted statistical analysis using SPSS software V.23.0 (SPSS. P<0.05 was considered to be statistically significant. We performed a univariate comparison of variables between two groups using an unpaired t-test for continuous variables and a χ2 test or Fisher’s exact test for categorical variables. Binary logistic regression analysis was applied to identify the independent contributions of risk factors to prediction of morbidity in uraemic RLS. When constructing the multivariate model, we used univariate factors with p<0.2. We used ORs with 95% CIs to gauge the association between the independent variables and the dependent variable.
Spss software v23
Manufactured by IBM
Sourced in United States, Japan, Italy
SPSS software v23.0 is a comprehensive statistical software package developed by IBM. It provides advanced analytical capabilities for data management, analysis, and reporting. The software offers a wide range of statistical techniques, including regression analysis, predictive modeling, and data mining, to help users gain insights from their data.
Automatically generated - may contain errors
130 protocols using spss software v23
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Statistical Analysis of Uraemic RLS Morbidity
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Neurologists' Perspectives on Whole Genome Sequencing
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The survey questionnaire contained questions aimed at exploring neurologists’ views and perspectives on: (1) clinical practices with genetic/genomic testing (including WGS); (2) circumstances and/or conditions in which WGS should be offered to patients; (3) the potential benefits of the use of WGS; (4) concerns about the use of WGS, (5) the return of results; and (6) needs for training or resources in genomics/genetics [23 (link), 24 (link)]. This manuscript only focuses on neurologists’ views on the return of results and on their responsibility to recontact their patients as new mutations are discovered over time.
Data analysis has been previously described [23 (link)]. Briefly, coding and analysis were conducted using the Statistical Package for Social Sciences (SPSS) software, v. 23.0. Descriptive statistics were used to portray sample characteristics. The interpretative analysis, based on χ2 and factor analyses, allowed us to better characterize the respondents and to reach a deeper understanding of what motivated and guided their responses. Two profiles emerged: (a) neurologists who would offer WGS to their patients and (b) those who would not offer WGS to their patients, or did not know about the uses of WGS. A one-way ANOVA was conducted to compare the two profiles. We considered a P-value of 0.05 or less as statistically significant.
Data analysis has been previously described [23 (link)]. Briefly, coding and analysis were conducted using the Statistical Package for Social Sciences (SPSS) software, v. 23.0. Descriptive statistics were used to portray sample characteristics. The interpretative analysis, based on χ2 and factor analyses, allowed us to better characterize the respondents and to reach a deeper understanding of what motivated and guided their responses. Two profiles emerged: (a) neurologists who would offer WGS to their patients and (b) those who would not offer WGS to their patients, or did not know about the uses of WGS. A one-way ANOVA was conducted to compare the two profiles. We considered a P-value of 0.05 or less as statistically significant.
3
Molecular Alterations and Clinicopathological Characteristics
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Data analysis was performed using SPSS software V 23.0 (SPSS Inc., Chicago IL, United States). The association between ARID1A, TP53, PDL1 alterations and various sociodemographic and clinicopathological characteristics was evaluated by Pearson’s χ2 test or Fisher’s exact test for discrete variables; paired t-test for continuous variables using multiple logistic regression analysis. The odds ratios (ORs) with 95% confidence intervals (CIs) was calculated. Two-sided p ≤ 0.05 was considered statistically significant.
4
Gastrectomy Metabolic Outcomes Analysis
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Data were analyzed using SPSS software v23.0 (SPSS Inc. 233 S. Chicago, IL, USA). The independent sample t-test and Wilcoxon rank sum test were used to assess the significant differences between gastrectomy patients and controls for continuous values. Categorical variables were compared using the Chi-square test. To assess differences in MMA and homocysteine levels measured before and after gastrectomy, the Wilcoxon signed rank test was used. p-values less than 0.05 were considered statistically significant.
5
Gut Microbiome and Immune Correlations
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All the following operations were analyzed by R software v4.2.2. All P values are two-tailed and are treated as statistically significant at P < 0.05. Continuous data analysis of clinical data was performed by t-test and quantitative data analysis was performed by Pearson chi-square test (Table 1
6
Statistical Analysis of Experimental Data
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Independent Student t test and analysis of variance (one-way ANOVA) with Bonferroni post hoc tests were performed using SPSS software (v. 23.0, SPSS inc., Chicago, IL, USA) to determine significant differences in relation to the two different time points of analysis and among the various samples. Samples were considered significantly different for p ≤ 0.05 or p ≤ 0.01.
7
Demographic and dFCD Variability Analysis
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SPSS software (v23.0; Chicago, IL, USA) was used for demographic analyses. The independent sample t-test and Chi-square test were used to compare the demographic characteristics of the two groups. When p < 0.05, the difference was considered statistically significant.
The dFCD variability value was averaged at each voxel across participants within the CNP and HC groups to obtain the dFCD variability distributions of both groups. A two-sample t-test was performed to assess the group differences in dFCD variability between the CNP and HC groups, with age used as covariates. Multiple comparisons were corrected using the Gaussian random field method (p < 0.05).
The dFCD variability value was averaged at each voxel across participants within the CNP and HC groups to obtain the dFCD variability distributions of both groups. A two-sample t-test was performed to assess the group differences in dFCD variability between the CNP and HC groups, with age used as covariates. Multiple comparisons were corrected using the Gaussian random field method (p < 0.05).
8
Factorial ANOVA and Duncan's Test
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A factorial analysis of variance (ANOVA) was performed in the form of a completely randomized design. Duncan’s multiple-range test at a confidence level of 95% was performed for a comparison of means. Data analysis was performed using SPSS Software v 23.0 (SPSS Science, Chicago, IL, USA). All the tests were performed at least in triplicate.
9
Synbiotic Intervention Effects Analysis
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Statistical analyses will be performed with SPSS software V.23.0 (SPSS Inc., Chicago, IL, USA). Normality of distribution of data will be assessed by the one-sample Kolmogorov-Smirnov test. At first, the primary information of the intervention and control groups will be compared. Continuous data will be presented as means ± standard deviation (SD), and categorical data will be expressed as numbers and percentages. The independent samples t test and the Mann-Whitney U test will be used for analyzing the differences in parametric continuous and asymmetric variables between the two groups, respectively. The paired t test will be used to identify the effect of the intervention in each group. General linear models will be applied to analyze the effects of the synbiotic relative to placebo after adjusting the baseline factors and individuals’ characteristics. The intention-to-treat (ITT) method and the per protocol analysis will be applied for data analysis. The former considers all participants in the trial and ignores anything that happens after randomization such as misallocation and non-compliance. The latter is adjusted for actual treatment. The results of the aforementioned analyses will be compared with each other.
P values < 0.05 will be considered as statistically significant.
P values < 0.05 will be considered as statistically significant.
10
One-way ANOVA for Statistical Analysis
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The SPSS software v. 23.0 was used for data statistics and one-way analysis of variance. All the data are expressed as the mean (M) ± standard deviation (SD), and p < 0.05 indicates a significant difference.
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