All results are presented as means ± standard error of mean (S.E.M.) of at least 3 independent and separate experiments. The differences between groups were calculated by Wilcoxon rank sum test (non-parametric statistics). All statistical analyses were carried out with SPSS 16.0 version (Chicago, Illinois). A p-value less than 0.05 was considered statistically significant.
Spss 16.0 version
Manufactured by IBM
Sourced in United States
SPSS 16.0 is a statistical analysis software package developed by IBM. It provides tools for data management, analysis, and reporting. The software offers a range of statistical techniques, including descriptive statistics, bivariate analysis, predictive analytics, and more. SPSS 16.0 is designed to assist users in analyzing and interpreting data for various applications.
Automatically generated - may contain errors
Lab products found in correlation
52 protocols using spss 16.0 version
1
Evaluating Neuroprotective Interventions
2
Comparing Associated Autoimmune Disorders
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
It was performed by using SPSS 16.0 version (SPSS, Inc., Chicago, IL, USA).
Frequency rates of the patients with either associated ADs or isolated HT were compared by chi-square test.
Median ages of the patients belonging to Groups A and B were compared between them by Mann–Whitney test.
Frequency rates of the patients with either associated ADs or isolated HT were compared by chi-square test.
Median ages of the patients belonging to Groups A and B were compared between them by Mann–Whitney test.
3
Comparative Analysis of Loop and Wind Techniques
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The collected data was analysed with SPSS 16.0 version software. To describe the data descriptive statistics, mean and standard deviation were used. To find the significant difference between the bivariate samples in paired groups (between sessions 1 to 8) Wilcoxon signed rank test was used and for independent groups (loop and wind) Mann-Whitney U test was used. For the repeated measures (from sessions 1 to 8) the Friedman test was used. In all the above statistical tools the probability value <0.05 is considered as significant level.
4
Cell Counting Using Grid Software
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Cell counting was done using software with grid system and data were entered in Excel and analyzed using software SPSS 16.0 version (SPSS Inc., Chicago, IL, USA). Normality was evaluated using Kolmogorov–Smirnov test. ANOVA was done for comparison of quantitative variables and data were analyzed with Friedman's test for ranking. Post hoc test was done for multiple and pairwise comparison between and within groups. P < 0.05 was considered statistically significant.
5
Evaluating Diagnostic Capacity of NDT
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Demographics of patients and control subjects and the screening questionnaire scores were compared by One-Way analysis of variance. Symptom scores during and after the two drinks were compared with analysis of variance for repeated measures. The discriminatory capacity of the NDT was evaluated by receiver operating characteristic (ROC) curves (SPSS 16.0 version, Chicago, IL, United States). The difference was considered statistically significant when P < 0. 05.
6
Statistical Analysis of Gene Expression
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed with SPSS 16.0 version (SPSS Chicago, IL, USA). A comparison of continuous variables between groups was done with Kruskal–Wallis analysis according to distribution normality of data; for binary comparisons, the Mann–Whitney U test was performed. Comparison of categorical variables was done with the chi-square test or Fisher’s exact test, where applicable. For investigation of possible relation and interaction, correlation and regression analyses were performed, respectively. P value below 0.05 was accepted as statistically significant. The gene expression profile was determined by means of nonparametric tests that perform comparisons 2 by 2. Differences in the gene expression profile were determined using nonparametric tests with 2 criteria to define the transcripts that had altered the mRNA abundance of the different sample sets: an absolute fold change (FC) of 2.0 or more and P < 0.05. Positive FC values reflect an overexpression and a negative value denotes underexpression.
7
Comparative Evaluation of Caries Detection
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data recorded were analyzed statistically using Statistical Package for the Social Sciences (SPSS-16.0 version, Chicago, Illinois, USA), and the performance of visual examination, RVG, and CarieScanPRO™ was compared and validated with PFO. The sensitivity, specificity, accuracy, PPV, NPV, FDR, FPR, and ROC curve were analyzed. Intraexaminer reproducibility of scores was calculated using Cohen's kappa statistics (κ) with a level of significance at 0.05.
8
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Significant differences (p < 0.05) between different data were analyzed using variance and Tukey’s honestly significant difference (HSD) test in the statistical software SPSS 16.0 version (SPSS Inc., Chicago, IL, USA).
9
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
One-way analysis of variance (one-way ANOVA, Statistical Package for the Social Sciences [SPSS] 16.0 version; SPSS Inc., Chicago, IL, USA) was used to statistically assess the experiment’s data, which was based on a completely randomized design. The Duncan multi-range test was used after a significant effect of treatments was detected. In addition, the influence of additives at different levels in feeds was determined using an orthogonal polynomial contrast test for linear and quadratic effects. Before the ANOVA test, the homogeneity tests were conducted to confirm that the populations had the same distribution (normal distribution). A significant effect was considered when p<0.05. When 0.05≤p<0.10 was observed, the tendency was considered.
10
Postural Load Response Hemodynamics
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The results are presented in frequencies, percentages, and mean ± standard deviation. The Chi-square test was used to compare dichotomous/categorical variables between responders and NR. The unpaired t-test/Mann–Whitney U test was used to compare continuous variables between responders and NR at baseline and 1 min after PLR. The Wilcoxon rank sum test was used to compare change from baseline to 1 min. The receiving operating curve (ROC) analysis was carried out. The area under the curve (AUC) with its 95% confidence interval (CI) was calculated. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with their 95% CI were calculated. The P < 0.05 were considered statistically significant. All the analysis was carried out on SPSS 16.0 version (Chicago, Inc., USA).
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!