Descriptive statistics and frequency data were examined using IBM SPSS statistic software version 20. The qualitative analysis involved thematic analysis of the transcribed interviews based on the open, axial, and selective coding approach (42 ), as outlined in the following section. Although this analytic process is most commonly employed in grounded theory research, it is suitable for use in phenomenological studies as it facilitates in-depth understanding of subjective experience (43 (link)).
Spss statistic software version 20
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for statistical analysis. Version 20 provides a comprehensive set of tools for data management, analysis, and visualization. It offers a wide range of statistical procedures, including regression, correlation, and hypothesis testing, to help users gain insights from their data.
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Lab products found in correlation
11 protocols using spss statistic software version 20
1
Qualitative Analysis of Subjective Experiences
2
Paraquat Toxicity Mitochondrial Effects
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The data were statistically analyzed using IBM® SPSS® Statistic software version 20. Probit analysis was utilized to establish the LD50 of PQ. The percentage of intact mitochondria, percentage of positively labeled cells, H-score, and relative gene expressions were compared between groups using an independent t-test. Spearman’s correlation test was used to determine the correlation between measured parameters. The criterion for statistical significance was a p-value less than 0.05.
3
Prognostic Factors in Definitive Radiation Therapy
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Patients’ demographic and clinical characteristics, such as age at the time of diagnosis, sex, stage, and treatment data, were collected and analyzed (Table 1 ).
Local control of the disease was determined from the day of treatment completion to the last documented clinic visit without recurrence. The same starting point was used for OS and disease-free survival (DFS).
For patients receiving definitive treatment, the correlation between disease control and patient characteristics and between disease control and treatment data (RT dose, time from diagnosis to treatment initiation) was assessed by logistic regression, using IBM SPSS statistic software version 20. A P < .05 was considered significant.
Cumulative survival and disease control rates were calculated by Kaplan-Meier product-limit actuarial method. Data censoring occurred in February 2015.
Local control of the disease was determined from the day of treatment completion to the last documented clinic visit without recurrence. The same starting point was used for OS and disease-free survival (DFS).
For patients receiving definitive treatment, the correlation between disease control and patient characteristics and between disease control and treatment data (RT dose, time from diagnosis to treatment initiation) was assessed by logistic regression, using IBM SPSS statistic software version 20. A P < .05 was considered significant.
Cumulative survival and disease control rates were calculated by Kaplan-Meier product-limit actuarial method. Data censoring occurred in February 2015.
4
Statistical Analysis of Experimental Data
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All statistical analyses were done with the IBM SPSS Statistic Software version 20 or 2 × 2 contingency table calculator (http://vassarstats.net/tab2x2.html ).
5
Comparative Hematopathological Analysis
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The IBM SPSS statistic software version 20, Armonk, NY, United States, was used for various statistical analyses. All hematopathological and biochemical parameters of the pediatric and adult age groups were compared using paired t-test, and for the association between the scoring system and treatment response, Fisher's exact test was used, and P value < 0.05 was considered as statistically significant.
6
Quantifying Lung Biomarkers in Preeclampsia
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Data were statistically analysed with IBM® SPSS® Statistic software version 20. Kruskal-Wallis test was used to compare area of expression of AQP-1 and -5, pancytokeratin, γ-ENaC and IL-33 among normal, PE and non-PE lungs. Spearman’s correlation test was used to determine the correlation between measured parameters. The proportion of each clinical complication was compared between PE and non-PE groups by Chi-square test. Histopathological score and number of leukocyte sub-sets were compared by each clinical complication using Mann–Whitney U test. The criterion for significance was considered as p value less than 0.05.
7
Comprehensive Experimental Methodology
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All experiments were performed in three replications. The data for colour analysis were performed in triplicate. The results were expressed in mean ± standard deviation. The data was analysed using analysis of variance test (ANOVA) and Duncan's multiple range test (DMRT) by using IBM SPSS Statistic Software version 20. Means are significantly different when (p<0.05).
8
Statistical Analysis of Human Subject Research
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Statistical analysis was performed using the IBM SPSS Statistic software, version 20. A p-value < 0.05 was considered statistically significant. Normal distribution was evaluated using Shapiro-Wilk test and by inspection of Q-Q plots. Student ' s t-or Mann-Whitney U-tests were performed for comparisons between two groups. Kruskal-Wallis test was performed for comparisons between more than two groups. Associations between variables were assessed by Spearman ' s rank correlation coeffi cient. Reed ' s test was used for identifi cation of outliers.
This study was conducted according to the World Medical Association Declaration of Helsinki regarding ethical conduct of research involving human subjects and/or animals.
This study was conducted according to the World Medical Association Declaration of Helsinki regarding ethical conduct of research involving human subjects and/or animals.
9
Childhood ICH and Cardiometabolic Health
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We studied the association between the extended ICH score at age 5–6 with CIMT and cardiometabolic outcomes at age 11–12 by means of multivariable linear regression models for continuous outcomes and multivariable logistic regression models for dichotomous outcomes. We considered the ICH variable as a continuous variable to calculate p-for-trend. For these analyses, all models included age, sex and maturation. To examine whether the association with respect to the dichotomous outcomes was present in children with a healthy weight at baseline, we repeated the logistic regression analysis excluding children with overweight at age 5–6.
All analyses were repeated with the original ICH score.
IBM SPSS Statistic software version 20.0 (IBM Corp, Armonk, NY, USA) was used for the analysis. A p-value of < 0.05 was considered statistically significant.
All analyses were repeated with the original ICH score.
IBM SPSS Statistic software version 20.0 (IBM Corp, Armonk, NY, USA) was used for the analysis. A p-value of < 0.05 was considered statistically significant.
10
Statistical Analysis of T-Cell Subsets in Ankylosing Spondylitis
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Statistical analysis was performed using IBM SPSS statistic software, version 20.0. Continuous variables were expressed as mean ± standard deviation with normal distribution and median (range) without normal distribution. The comparison of continuous variables with or without normal distribution was analyzed with Student t test and Wilcoxon rank test, respectively. Two-sided P value of >0.05 was considered significant. For T cell subsets, continuous variables were expressed as mean ± standard deviation with normal distribution. In correlation analysis, it conforms to normal distribution, Pearson correlation analysis is used, and Spearman correlation analysis is used when it does not conform to normal distribution, P < .05 was regarded as statistically significant. Correlation analysis T-cell subsets with BASDAI scores, Pearson correlation analysis is used, correlation analysis T-cell subsets with ESR and CRP, Spearman correlation analysis is used. Figures were made with GraphPad Prism version 6.07 software.
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