Data were subjected to analysis of variance (ANOVA) followed by Tukey's post-test, with significance level of 0.05. The relationship between variables was determined using Pearson's correlation. All analysis were performed using the statistical program Statistical Package for the Social Sciences (SPSS) version 17.0 (International Business Machines Corporation, New York, NY, USA).
Statistical package for the social sciences spss version 17
Manufactured by IBM
Sourced in United States
SPSS version 17.0 is a software package used for statistical analysis. It provides tools for data entry, data management, and data analysis.
Automatically generated - may contain errors
Lab products found in correlation
11 protocols using statistical package for the social sciences spss version 17
1
Multivariate Statistical Analysis of Experimental Data
2
Non-Parametric Analysis of Treatment Effects
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were grouped according to patient categories and screened for any obvious errors, anomalies, and duplications within each set. These data were then subjected to the Shapiro-Wilk test to determine whether there was a normal distribution. As there was no normal distribution, a non-parametric test was used. The Wilcoxon test was used to analyze within-group differences before and after treatment. For better results comprehension, measurements of central tendency and dispersion were also calculated for all outcome measurements, in addition to median, minimum, and maximum scores. Effect size was calculated using the statistic r (Rosenthal). We adopted p < 0.05 as the statistical significance limit. Data analysis was carried out using the Statistical Package for the Social Sciences (SPSS), version 17.0 ((IBM Corp, Armonk, NY, USA), and GraphPad Prism version 8 (GraphPad Inc, San Diego, CA, USA) was used to construct the plots.
3
Comparative Microbial and Physico-Chemical Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Descriptive statistics were applied in order to perform an exploratory analysis.
The bacteriological and physico-chemical results were assessed by the Kruskal-Wallis non-parametric test, at a significance level of 5% (p ≤ 0.05) in order to compare the three experimental groups. The Mann Whitney test at a significance level of 2% (p ≤ 0.02) was applied for comparisons between pairs. Pearson's linear correlation coefficient was used to assess potential associations among the assessed variables and Spearman's correlation coefficient was was applied for comparisons between means physico-chemical and microbiological values, at a significance level of 5% (p ≤ 0.05).
All data were processed using the IBM Statistical Package for the Social Sciences (SPSS), version 17.0.
The bacteriological and physico-chemical results were assessed by the Kruskal-Wallis non-parametric test, at a significance level of 5% (p ≤ 0.05) in order to compare the three experimental groups. The Mann Whitney test at a significance level of 2% (p ≤ 0.02) was applied for comparisons between pairs. Pearson's linear correlation coefficient was used to assess potential associations among the assessed variables and Spearman's correlation coefficient was was applied for comparisons between means physico-chemical and microbiological values, at a significance level of 5% (p ≤ 0.05).
All data were processed using the IBM Statistical Package for the Social Sciences (SPSS), version 17.0.
4
Diagnostic Value of Biomarkers in CHD
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Measurement data were presented as means ± SDs, a Student’s t-test was used to analyze the differences between the research and control groups. Enumeration data were presented as ratios, and the chi-square test was used to analyze the differences between the two groups. The receiver-operating characteristic (ROC) curve was performed to evaluate the diagnostic and predictive value of the Hcy, Cys C and UA for CHD. The Spearman correlation analysis was conducted to assess the relationship between Gensini Score and variables. To select the variables independently associated with Gensini Score, variables with a p<0.2 in the Spearman correlation analysis were retained to evaluate for further multivariate linear regression analysis (method: Enter). All the data were analyzed by using the Statistical Package for the Social Sciences (SPSS) version 17.0 (SPSS, Inc., Chicago, USA); p<0.05 was considered statistically significant.
5
Comparison of Antidepressant Efficacy
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Descriptive analysis was done to show the distribution of variables. Independent t-test was used for continuous variables and Chi-square test for categorical variables to study the difference between the two groups in terms of sociodemographic and clinical variables. Fall in the scores of MADRS and HADS at 10th day (baseline to 10th day) and 30th day (baseline to 30th day) were calculated. Independent t-test was applied to assess for significant difference between groups in terms of fall in MADRS and HADS scores at 10th day and 30th day. Group difference in the fall of MADRS and HADS scores from 10th day to 30th day was also analyzed. Change in CGI score in both the groups was studied using independent t-test. Statistical significance was set at P < 0.05. Statistical Package for the Social Sciences (SPSS) version 17.0 was used for statistical analysis (SPSS Inc., Chicago, IL, USA).
6
Diagnostic Accuracy of EOC Biomarkers
7
Statistical Analysis of Quantitative and Qualitative Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
To describe quantitative variables, measures of central tendency and dispersion including the mean, standard deviation (SD), median, and interquartile range (IQR) were used. Counts and percentages were used to describe qualitative variables. For the comparison of categorical variables, the Chi-squared test was used. The Kolmogorov–Smirnov test and the Shapiro–Wilk test were used for checking the normality of data.
Missing data were not considered in the analyses, and significance was considered at p-value < 0.05 for statistical testing. The statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 17.0 (SPSS Inc., Chicago, IL, USA).
Missing data were not considered in the analyses, and significance was considered at p-value < 0.05 for statistical testing. The statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 17.0 (SPSS Inc., Chicago, IL, USA).
8
Diagnostic Accuracy of EOC Biomarkers
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Continuous variables were expressed as mean (±standard deviation [SD]) or median (range), and the statistical significance was determined by t-test or mean fold change (MFC) analysis, as appropriate. Categorical variables were expressed with number (%). Diagnostic accuracy of biomarkers for EOC over control counterparts was examined with ROC curve analysis comparing AUC with 95% CI. Based on the results, the cutoff value of biomarker was determined and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy for diagnosing EOC or OCCO over control group were calculated. All statistical analyses were two-tailed, and P < 0.05 was considered as statistical significance. Statistical Package for the Social Sciences (SPSS, version 17.0, Chicago, IL, USA) and our original statistical software were used for the analysis.
9
Comparative Evaluation of Wrist MRI Techniques
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The paired t-test or Wilcoxon signed-rank test was used to compare the SNR and CNR between the routine TSE and SMS-TSE groups in the wrist joint. The interobserver agreement between the two radiologists regarding the evaluation scale of image quality of artifacts score was determined using the Kappa test, with values less than 0.4, 0.4–0.6, 0.6–0.8, and greater than 0.8 indicating poor, moderate, substantial, and good agreement, respectively. For the qualitative scores of the routine TSE and SMS-TSE sequences, the Wilcoxon signed-rank test was used to compare differences. Furthermore, the diagnostic sensitivity, specificity, and accuracy of the SMS-TSE sequence were calculated using routine TSE sequences as a standard reference. Statistical significance was set at p < 0.05. All statistical analyses were performed using a statistical software package [Statistical Package for the Social Sciences (SPSS) version 17.0 (SPSS Inc., Chicago, IL, United States)].
10
Statistical Analysis of Categorical and Continuous Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The descriptive statistics were analyzed with Statistical Package for the Social Sciences (SPSS) version 17.0 (SPSS, Chicago, IL, USA) and Epi Info software version 2000 (CDC, Atlanta, GA, USA). Categorical variables were compared by chi-square or Fisher's exact test, when appropriate. Differences in means were assessed by the Student T-test. p ≤ 0.05 was deemed statistically significant.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!