Individual runs were analyzed by the Catwalk software. Three individual runs from each animal were used to compute mean and standard error of the mean (SEM) for all the Catwalk parameters. A separate analysis was done for every parameter belonging to each paw, unless stated otherwise. Statistical analysis between the 2 experimental groups was done by applying independent sample t-test. Interobserver agreement on the animals that showed choreiform movements was assessed using the weighed kappa coefficient. Data are presented as means and standard error of means (SEM). All statistical analyses were performed with SPSS 20.0 version for Windows, with P values smaller than 0.05 considered significant.
Spss 20.0 version for windows
Manufactured by IBM
Sourced in United States
SPSS 20.0 for Windows is a comprehensive statistical software package that provides advanced analytical capabilities. It offers a wide range of tools for data management, statistical analysis, and reporting. SPSS 20.0 supports a variety of data types, including numeric, text, and date/time, and allows users to perform a wide range of statistical analyses, such as regression, ANOVA, and factor analysis. The software also includes features for data visualization and reporting.
Automatically generated - may contain errors
Lab products found in correlation
4 protocols using spss 20.0 version for windows
1
Catwalk Analysis of Choreiform Movements
2
Survival Analysis of Surgical Outcomes
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data were reported as absolute numbers, percentages or median values with interquartile range (IQR). The association between qualitative variables was verified by the Fisher test.
Overall survival (OS) was calculated from the date of surgery until that of death or last follow-up. Disease-free survival (DFS) was calculated as the time between surgery and diagnosis of recurrence. Post-recurrence survival (PRS) was calculated from the date of recurrence to the date of death or last follow-up. A survival analysis was performed by applying the Kaplan–Meier and Cox-regression methods. p < 0.05 was considered statistically significant.
All the statistical analyses were performed using SPSS 20.0 version for windows (SPSS, Inc., Chicago, IL, USA) and GraphPad Prism 8 Version 8.2.1 for macOS.
Overall survival (OS) was calculated from the date of surgery until that of death or last follow-up. Disease-free survival (DFS) was calculated as the time between surgery and diagnosis of recurrence. Post-recurrence survival (PRS) was calculated from the date of recurrence to the date of death or last follow-up. A survival analysis was performed by applying the Kaplan–Meier and Cox-regression methods. p < 0.05 was considered statistically significant.
All the statistical analyses were performed using SPSS 20.0 version for windows (SPSS, Inc., Chicago, IL, USA) and GraphPad Prism 8 Version 8.2.1 for macOS.
3
Analyzing Hearing Function Differences
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical package SPSS 20.0 version for Windows software was used to evaluate the ndings statistically and analyzes were made at 95% con dence intervals for both groups. Kolmogrov-Smirnov ve Shapiro Wilks test were used according to whether there were differences between the groups in terms of quantitative variables, whether the variables showed normal distribution and whether the group variances were homogeneous. The paired t-test was used for the relation between the results for the contralateral suppression amplitudes, DPOAE, and ABR latencies. The independent samples t-test was used to analyze the difference between the study group and the control group's median values (P < 0.05).
4
Cognitive and Mood Assessment Protocol
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyzes were performed with specific programs, such as SPSS®, 20.0 version for Windows®. Means and standard deviations, as well as proportions or percentiles were used for the descriptive statistics. Continuous variables (age and schooling) were analyzed using one-way ANOVA, and categorical variables (sex, marital status, and occupation) were analyzed with the Fischer test to compare the groups (CG and HEG). The hypothesis was tested bi-caudally and results were statistically relevant when p < 0.05. For the comparison of the variables (cognition and mood) between pre and post intervention, the t test for paired samples was used. Once again, statistically relevant results were those with p< 0.05. Variables were considered parametric given the normality of the sample.
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!