Spss statistics for mac v25

These data were collated into a separate Microsoft Excel database and given to the primary researcher with players assigned identification numbers to maintain anonymity. A database was prepared using IBM SPSS Statistics for Mac, V.25 (IBM). Each non-injury, new or recurring match and training injury was recorded as a data point in the injury surveillance dataset for each season, capturing 991 domestic and 281 international cricket data points totalling 1272 final dataset entries for the entire surveillance period. All data were initially analysed descriptively to ensure there were no extreme outliers or duplicates. Continuous data were assessed for normal distribution. Means and SDs were calculated. Frequencies were calculated for categorical data. Descriptive analysis was performed to determine injury frequency and match days lost, injury incidence rates and injury prevalence rates. Age differences between domestic and international level playing groups were analysed using t-tests. While the international level players were selected from the domestic competition group, the analysis was conducted assuming these players were from different cohorts. χ² analysis was used to assess for differences between injured and non-injured domestic and international level playing groups and playing roles. Alpha levels were set at 0.05 (95% confidence level).

This was undertaken using IBM SPSS Statistics for Mac v25. For the cell line-derived exosomes, a two-tailed unpaired Student’s t-test was performed on miRNA sample values only if detected in all of the three biological sample replicates. Patient data were compared using two-tailed Student’s t-test and correlation between log-transformed continuous data was performed by Pearson product correlation analysis. The values of p < 0.05 were considered statistically significant.