The compliance of the data to normal distribution was tested with the Shapiro–Wilk test. The Mann–Whitney U test was used for the comparison of variables that did not have a normal distribution in two independent groups, and the Kruskal–Wallis and Dunn multiple comparison tests were used to compare more than two independent groups. The relationships between categorical variables were tested with the Chi-square test, and the odd’s ratio and 95% confidence intervals were estimated. As descriptive statistics, mean ± standard deviation for numerical variables and number and percentage (%) values for categorical variables are given. Using the SPSS package program (Release 22.0, SPSS Inc., Chicago, IL, USA) for statistical analysis, p < 0.05 was considered statistically significant. ROC curve analysis was used to evaluate the potential of CHRNA7 copy number and the protein expression level of the gene as biological markers in migraine patients. SPSS package program (Release 22.0, SPSS Inc., Chicago, IL, USA) was used for analysis. Breakpoints are made according to Youden’s maximum index.
Spss package program
Manufactured by IBM
Sourced in United States
SPSS is a software package that provides advanced statistical analysis capabilities. It is designed to handle a wide range of data types, including numerical, categorical, and time-series data. SPSS offers a user-friendly interface and a comprehensive set of statistical procedures, enabling users to analyze data, generate reports, and visualize results.
Automatically generated - may contain errors
Lab products found in correlation
22 protocols using spss package program
1
Migraine Biomarker Assessment Protocol
2
Statistical Analysis of Experimental Data
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Statistical significance of the data was analyzed by one-way ANOVA with SPSS package program (SPSS Inc., USA). The results were considered significant if the P value was less than 0.05. Duncan’s multiple-range test was also performed to test if the differences between the groups were identified at α = 0.05.
3
Statistical Analysis of Bivariate Data
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For discrete and continuous variables, descriptive statistics (mean, standard deviation, n and percentile) were given. To compare the differences between three and more groups, one-way analysis of variance was used when the parametric test prerequisites were fulfilled, and the Kruskal Wallis test was used when such prerequisites were not fulfilled. The relationship between two continuous variables was assessed by the Pearson Correlation Coefficient, and by the Spearman Correlation Coefficient when the parametric test prerequisites were not met. Data (SPSS, Chicago IL, Version 17) was assessed in the SPSS package program (Chicago IL, Version 17). p<0.05 was taken as significance levels.
4
Nitrite Levels and Pastırma Production
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This experiment was conducted according to a completely randomized block design, using two replications. Analysis of variance by the general linear model (GLM) of the SPSS Package Program (1996) and Duncan’s multiple range tests were used to find significant differences (p<0.05) between nitrite level and pastırma production stage. The model included the nitrite level (control, 50 ppm, 100 ppm and 150 ppm) and production stage (the raw material, the end dry curing, the end of second drying and pastırma) as main effects, and all their interactions. The results of statistical analysis were shown as mean values ± standard error in tables.
5
Statistical Analysis of Experimental Data
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Statistical analyses were performed with ANOVA and significant differences at p < .05 were carried out by Duncan's multiple range tests using SPSS package program (Version 22, SPSS Inc.).
6
Verrucous Epidermal Nevi: Dermoscopic Features
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The study included the patients with histopathologically approved verrucous epidermal nevi between December 2017 and November 2018. The demographic, clinical, and dermoscopic features and the histopathological report of all the cases were retrospectively reviewed. Dermoscopic examination was performed with a polarized-light handheld dermoscope with 10-fold magnification (DermLite DL4; 3Gen, San Juan Capistrano, CA, USA). Dermoscopic photographing was done using a dermoscope-attached mobile phone with a high resolution camera (iPhone 7 Plus, Apple, California, USA). Descriptive statistical analysis was performed using the SPSS package program (SPSS Inc., Chicago, IL). All the procedures followed the Helsinki Declaration and the study was approved by the local clinical research ethics committee.
7
Protein Expression Optimization by ANOVA
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Data were analyzed by one-way analysis of variance (ANOVA) using the SPSS package program (version 20.0; SPSS Institute Ltd, USA). The experiment was repeated 3–5 times. Duncan’s test was used for significance (p < 0.05). Origin 2022 was used to draw graphs with standard error bars, and the values of the last graph are the average values of 3 or 5 repetitions.
8
Normality Assessment and Statistical Analysis
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The normality assumption of the data was examined with the Kolmogorov–Smirnov test, and it was determined that the normality assumptions were met for the experiment. (p > 0.05). Statistical analyses were performed with one-way analysis of variance (ANOVA). A value of 0.05 was considered significant in the analysis of variance (ANOVA) to determine significant differences. Differences between groups were assessed with Duncan’s multiple-range test. The mean and standard error of the mean (SEM) values are given as descriptive statistics. The SPSS package program was used (SPSS Inc., Chicago, IL, USA).
9
Statistical Analysis of Biomarker Diagnostic Accuracy
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Statistical analysis was performed with the SPSS Package Program (SPSS version 15.0). Data was given as median (25th–75th quartile) and mean ± standard deviation. Data was checked for normality of distribution with the Shapiro-Wilk test. In the comparison between groups, chi-square test, independent samples T-test and Mann-Whitney U test were used and p<0.05 was accepted as significant. Receiver operating characteristics analysis was used to analyze the diagnostic accuracy of biomarkers. Spearman correlation coefficient was performed to evaluate the correlation between CRP and procalcitonin. Youden index was used to determine the optimal cut-off value on a ROC curve (9) (link).
10
Statistical Analysis of Experimental Data
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Statistical analysis was performed using the SPSS package program version 19.0.0 (SPSS Inc., Chicago, IL). Data were analysed by one‐way ANOVA followed by Turkey's test at a 95% confidence level (P < 0.05) or Student's t‐test at 99.9% confidence level (P < 0.001). The values were reported as means with standard deviation (SD) for all the results.
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