Statistics for windows version 23

WBCT20 analysis was performed adhering to the standardized procedure by trained personnel. 1 mL of whole blood was collected into a clean, dry, 5 mL borosilicate glass tube and kept undisturbed for 20 min, after which the tube was inverted to determine if the blood had clotted [15 (link)].
PT was performed on an ACL elite-Pro coagulation analyzer used for clinical services in the hospital with daily internal quality checks and regular participation in an external quality assurance programme.
Three assays were performed by ROTEM delta. Clotting time (CT) of INTEM and EXTEM and maximum clot firmness (MCF) of FIBTEM were assessed with a run time of 70 min.
The decision to administer antivenom was made by the medical team attending to the patient, by using a combination of clinical and laboratory features based on local,national and regional guidelines on snakebite management [16 ]. This decision was not influenced by results of PT/INR and ROTEM tests done for the study.
Established reference ranges were used for CT and MCF of INTEM, EXTEM and FIBTEM parameters. INR > 1.4 was considered as abnormal. The median was statistically analyzed using SPSS 23.0.0.0 at 95% confidence interval (CI) (released 2015, IBM statistics for Windows version 23, IBM Corp., Armonk, NY).

For the analyses, EG and CG scores of participants across all variables were gathered. Firstly, t-test comparison between EG and CG were employed to analyse possible differences in baseline between groups. Effect size estimation was also computed for each pair of variables using [34 ]. MANCOVA tests of repeated measures of ‘time’ (pre-and post-training assessments) with ‘group’ (participants from the EG vs. participants from the CG) as between-subject factor were performed to analyse the effectiveness of the intervention at improving personal and social skills. For significant results, partial eta-squared (η²) was reported as a measure of the effect size [35 (link)]. Age and pre-test scores age were introduced in the analyses as covariates. All statistical analyses were performed using SPSS (International Business Machines Corporation (IBM), Armonk, NY, USA), Statistics for Windows, Version 23.0, considering p < 0.05 to be significant. The descriptive values are expressed as mean and standard deviation (M and SD, respectively).

T tests and ANOVA test were done using SPSS software Statistics for Windows, Version 23.0 (IBM SPSS Statistics for Windows, Version 23.0. IBM Corp, Armonk, NY, USA) to study the effect of different additives on four mechanical properties of polypropylene. The effect of both additives, the LLDPE/LDPE mixture and calcium carbonate filler, was studied on the following mechanical properties: tensile strength at break, tensile strength at yield, % elongation, and Youngs modulus.

For the analyses, scores of participants from the EG and CG in each of the evaluated variables were employed. First, T-test comparison between EG and CG were employed to analyse possible differences in baseline between groups. Effect size estimation was also computed for each pair of variables using Cohen’s definitions (1988). ANCOVA of repeated measures of ‘moment’ (T1 pre-intervention vs T2 post-intervention) with ‘group’ (participants from the EG vs participants from the CG) as between-subject factor was performed to analyze the effectiveness of the intervention reducing bullying and cyberbullying, and improving school climate. For significant results, partial eta-squared (η²) was reported as a measure of the effect size [26 (link)]. Furthermore, the percentage change between scores from T1 to T2 was calculated following this formula: [(T2 − T1/T1)]*100. As has been previously indicated, age was introduced in the analyses as a covariate. All statistical analyses were performed using SPSS (International Business Machines Corporation (IBM), Armonk, NY, USA), Statistics for Windows, Version 23.0, considering p < 0.05 to be significant. The descriptive values are expressed as mean and standard deviation (M and SD, respectively).

The reliability of the agreement between the observers, was indicated by Cohen’s kappa. Results were interpreted in accordance with Landis and Koch as: poor (k < 0); slight (k 0–0.20); fair (k 0.21–0.40); moderate (k 0.41–0.60); substantial (k 0.61–0.80) and almost perfect (k 0.81–1.00) [17 (link)]. We determined normality of disease duration and age of the patient by Shapiro Wilk test. We associated the presence of comorbid dystonia with both disease duration (at the time of the included video-recording) and age of the patient by Mann–Whitney U test. The significance level was set at α = 0.05. Statistical analysis was performed using IBM SPSS statistics 23.0, Statistics for Windows, Version 23.0. Armonk, NY, USA: IBM Corp. In the study and control group, we combined and compared specific groups of genes according to the associated MRI patterns, using the Fisher-exact test.