The completed questionnaires were coded and the data were analysed using the IBM SPSS Package Version 19. Data were descriptively analysed and chi-square tests were performed to examine whether data were equally distributed amongst the five answers (goodness of fit), and to test whether patients’ answers were independent of their demographic and socioeconomic characteristics. Fisher’s Exact tests were alternatively used to test the independence as appropriate. The ordinal logistic regression models, especially effective with ordinal data (i.e. the Likert scaled questions), were undertaken to study the impact of demographic/socioeconomic characteristics (independent variables, merged to be 2 categories/levels for each characteristic) including gender (male vs female), age (patients aged less than or 45 years vs others aged more than 45 years), income (subjects earning 240 Jordanian dinars monthly at maximum vs others earning higher salary), education (no university education vs university graduates), home (urban vs rural) and marital status (married vs unmarried) on the response to questions (dependent variables, with 5 levels/answers, always, often, sometimes, rarely and never), thereby calculating the odds ratios and confidence intervals at 95%. Significance was reached when P<0.05.
Spss package version 19
Manufactured by IBM
Sourced in United States
SPSS package version 19.0 is a statistical software application developed by IBM. It is designed to enable users to analyze and visualize data. The software provides a wide range of analytical tools and techniques, including regression analysis, factor analysis, and cluster analysis. SPSS 19.0 is compatible with various data formats and can be integrated with other IBM products and services.
Automatically generated - may contain errors
Lab products found in correlation
11 protocols using spss package version 19
1
Analyzing Patient Responses to Likert Scales
2
Survival Analysis and Comparative Statistics
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IBM SPSS package version 19 (IBM, Armonk, NY,USA) was
used for statistical analysis. The data were analysed using descriptive
statistics including standard error, min. max. and mean
values. The Kaplan-Meier survival analysis was conducted to reveal
the survival rate. The qualitative variables were compared
using Pearson chi-square, Fisher exact and logrank statistics
tests. P<0.05 was determined as statistically significant.
used for statistical analysis. The data were analysed using descriptive
statistics including standard error, min. max. and mean
values. The Kaplan-Meier survival analysis was conducted to reveal
the survival rate. The qualitative variables were compared
using Pearson chi-square, Fisher exact and logrank statistics
tests. P<0.05 was determined as statistically significant.
3
Metabolic Effects of Dietary Intervention
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Data are expressed as mean ± SEM and were analyzed using one way analysis of variance (ANOVA) followed by post-hoc Tukey's test for multiple comparisons. Also, the percent change of each group relative to the control group was calculated for all variables. IBM SPSS package version 19 was used to perform statistical analyses, and significance was considered when p was <0.05.
4
Triplicate Treatment Analysis Protocol
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Triplicates were used for each treatment and results expressed as mean ± standard deviation (SD). Significant differences between means were calculated by an analysis of variance (ANOVA) and Duncan’s multiple range test at p < 0.01 using SPSS package version 19.0 (IBM, Armonk, NY, USA).
5
Statistical Analysis of Experimental Data
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All statistical analyses were performed with the statistical software SPSS package version 19.0 (IBM). Normal distribution of data was assessed with the Shapiro–Wilk test. If the data were normally distributed, statistical significance was evaluated with Student t test when only 2 value sets were compared or with 1‐way ANOVA when the differences among groups were assessed (data presented as mean±SEM). For multiple comparisons, Dunnett multiple comparison test was applied. If the data failed normality tests, groups were compared using Wilcoxon rank‐sum test for 2 groups and using Kruskal‐Wallis test for more than 2 groups (data presented as median with 25th and 75th percentiles). Each experiment was repeated at least 3 times. A 2‐tailed P value <0.05 was considered to be statistically significant.
6
Diagnostic Potential of lncRNAs in CRC
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The qRT-PCR results of the CRC patients were compared with those of the healthy individuals by the Mann–Whitney U test. The diagnostic potentials of the lncRNAs were evaluated using the ROC curves. The experimental results were presented as the mean ± standard deviation (SD), and the P<0.05 was considered to be statistically significant. The statistical analyses were performed using the SPSS package, version 19.0 (Chicago, IL).
7
Gene expression and intestinal analyses
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Data on gene expression, Ussing chamber assays and staining intensity in histological sections were analysed using one-way analysis of variance (ANOVA-I), followed by a Student-Newman-Keuls post hoc test. When the test of normality or equal variance failed, a Mann-Whitney Rank Sum test or a Kruskal-Wallis ANOVA on ranks followed by Dunn’s method was applied instead, respectively. For the staining intensity, when no differences among diets were found, data were merged and differences between the two intestinal segments were analysed via Student's t-test. The significance level was set at P < 0.05. All analyses were conducted using SPSS package version 19.0 (SPSS Inc., Chicago, IL, USA).
8
Survival analysis of liver disease
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Quantitative variables were expressed as mean ± standard deviation and categorical as count and proportions. Survival rates and curves were determined using the Kaplan-Meier methods. Differences in the survival rate, regarding Child class were assessed using the log rank test. Last date for collection of data and calculating survival was 12th August 2014. A p value less than 0.05 was considered statistically significant.
Potential prognostic variables were evaluated as predictors of survival in the Cox proportional hazards model. All variables with a p value < 0.05 at univariate analyses were included in the multivariate analyses. All calculations were performed with statistical software (SPSS package version 19.0; SPSS Inc, Chicago, IL, USA).
Potential prognostic variables were evaluated as predictors of survival in the Cox proportional hazards model. All variables with a p value < 0.05 at univariate analyses were included in the multivariate analyses. All calculations were performed with statistical software (SPSS package version 19.0; SPSS Inc, Chicago, IL, USA).
9
Comparing LISA and Standard Ventilation
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A convenience sample size of 30 patients in each group was selected for this pilot study.
Variables of interest are expressed as percentages, as means (standard deviations) for normally distributed continuous variables and as medians (ranges) for non-normally distributed variables according to the Kolmogorov-Smirnov test. Fisher's exact test (two-tailed) or the Mann-Whitney's U test was used to establish baseline differences between the infants in the LISA and control cohorts. Additionally, logistic regression analysis was used to investigate the association between the LISA and standard treatment procedures and the need for mechanical ventilation. These analyses were adjusted for the effects of gestational age (GA) and the Critical Risk Index for Babies (CRIB) score. Selected clinical variables were compared between LISA success and LISA failure through a univariate comparison. A p value of <0.05 was considered statistically significant. The data were analyzed using SPSS package version 19.0 (SPSS, Chicago, IL, USA) for Windows.
Variables of interest are expressed as percentages, as means (standard deviations) for normally distributed continuous variables and as medians (ranges) for non-normally distributed variables according to the Kolmogorov-Smirnov test. Fisher's exact test (two-tailed) or the Mann-Whitney's U test was used to establish baseline differences between the infants in the LISA and control cohorts. Additionally, logistic regression analysis was used to investigate the association between the LISA and standard treatment procedures and the need for mechanical ventilation. These analyses were adjusted for the effects of gestational age (GA) and the Critical Risk Index for Babies (CRIB) score. Selected clinical variables were compared between LISA success and LISA failure through a univariate comparison. A p value of <0.05 was considered statistically significant. The data were analyzed using SPSS package version 19.0 (SPSS, Chicago, IL, USA) for Windows.
10
Comparative Analysis of Vscan and HEUS
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Continuous data were presented as the mean±standard deviation (SD). The measurements achieved from the Vscan™ Dual Probe and HEUS were compared with paired Student's t test, and also with the Pearson's correlation test. Wilcoxon rank sum test was used to compare the difference between the grade of colour flow from the Vscan™ Dual Probe and HEUS and also the score of image quality, Spearman's correlation test was applied to analyze their correlations. p-values <0.05 were considered significant. Tests and calculations were carried out using SPSS package, version 19.0 (SPSS Inc., Chicago, IL, USA).
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