Data were entered into a standardized form in Excel (Microsoft Corp. 2010). Statistical analyses were performed in PAWS 18 (SPSS Inc, Chicago IL). Characteristics of subjects were summarized with descriptive statistics including mean and medians, as well as frequencies and percentages. Categorical variables were compared with chi-square or Fisher exact tests. Continuous variables were compared with Student’s t-tests if normally distributed and Mann Whitney U tests if not normally distributed. A two-tailed alpha less than or equal to 0.05 was considered statistically significant.
Paws 18
Manufactured by IBM
Sourced in United States
PAWS 18.0 is a laboratory equipment product developed by IBM. It is designed to assist in the analysis and processing of data. The core function of PAWS 18.0 is to provide a platform for data collection, management, and analysis.
Automatically generated - may contain errors
Lab products found in correlation
6 protocols using paws 18
1
Statistical Analysis of Subject Characteristics
2
Statistical Analysis Using PAWS 18
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Statistical analysis was done using the PAWS 18, a statistical package from SPSS Inc, Chicago, USA. The results were expressed as mean ± SD. Groups were compared using one way analysis of variance (ANOVA) and Post Hoc analysis using least significance difference (LSD). The significance level was set at 95 % confidence interval and p<0.05 was considered statistically significant.
3
Analyzing Demographic and Intervention Data
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Demographic data, such as sex and age, were analyzed using an independent t-test. Pre- and post-intervention data were examined using the paired t-test within each group of subjects and the analysis of covariance was used between the groups. Analysis of covariance was used to control the variance in the pretest score. The pretest score was the covariate, group was the independent variable, and posttest score was the dependent variable. All statistical analyses were performed using PAWS 18.0 (SPSS, Chicago, IL, USA), and P < 0.05 was used as the criterion for statistical significance.
4
Demographic and tDCS Effects Analysis
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Demographic data, such as gender and age, were analyzed using an independent t-test. The pre- and after-effects of tDCS were determined using two-way analysis of variance (factors: real-tDCS, sham-tDCS, factors × test: pre-tDCS, post-tDCS) with repeated measures of the three dependent variables (levels 1, 2, and 3). All statistical analyses were performed using PAWS 18.0 (SPSS Inc., Chicago, IL, USA), and P < 0.05 was used as the criterion for statistical significance.
5
Genetic Associations with Sleep Parameters
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The chi-square test was used to verify whether HOMER1 genotype frequencies were distributed according to the Hardy-Weinberg Equilibrium. One-way Analysis of Variance (ANOVA) followed by Bonferroni post hoc test was used to verify the effect of HOMER1 polymorphism on the z-score standardized polysomnographic parameters and sleep EEG spectral data. Also, the chi-square test was performed to compare genotype frequencies between individuals with and without OSAS. Furthermore, a set of 31 ancestry informative markers was used to estimate the genetic ancestry proportions of the population as previously described [19 (link)]. General linear models (GLM) were applied to verify the effect of potential confounders (age, sex, body mass index and ancestry proportions) on the genetic association results of the continuous variables. Tests were performed using PAWS 18.0 (SPSS, Inc.), with a significance level of 0.05. Results are represented as mean [standard deviation].
6
Comparing tDCS Effects on Motor Tasks
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Demographic data, such as gender and age, were analyzed using an independent t-test. In order to compare the pre- and after-effects of the tDCS, repeated measures two-way analysis of variance was used. For direct comparison of differences between the tapping and tracking tasks within each group, data from the two motor tasks in both groups were converted into Z scores to standardize the performance of each motor task based on the mean and standard deviation of sham-controlled subjects (Z score = (post-task – mean of pre-task)/standard deviation of pre-task). Statistical analysis was performed using PAWS 18.0 (SPSS, Chicago, IL, USA). The level of statistical significance was chosen as 0.05.
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