https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55718 Wed 19 Jun 2024 09:19:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52138 .05). Further, there was distributional similarity (ie, low standardized propensity mean squared error) between the original observed and synthetic data sets. Conclusions: These findings highlight the potential use of synthetic data as a practical solution to privacy and confidentiality issues. Synthetic data can unlock previously inaccessible data sets for exploratory analysis and facilitate multiteam or multicenter collaborations. Interested sport scientists, practitioners, and researchers should consider utilizing the shiny web application (SYNTHETIC DATA—available at https://assetlab.shinyapps.io/SyntheticData/).]]> Thu 09 Nov 2023 15:59:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51952 Fri 22 Sep 2023 17:06:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53111 Fri 17 Nov 2023 11:33:34 AEDT ]]>