Exact(5)
Individual statistics were not kept, except within players' heads.
For a robust analysis we can apply the market dynamics related with demand expansion and shrinkage as well as a competition within players.
Application of the SIC model allows for multiple different injury types and relationships within players, as well as different index injuries.
However, the A-G model requires the strongest statistical assumptions including that of an independent increment in which any given injury occurrence is not affected by previous injuries, that is within players, injuries are independent.
7 13 14 None of this prior work, however, discusses subsequent injuries from a statistical viewpoint, and therefore adequate recognition of the various dependencies (or possible relationships) between injuries within players is lacking in the sports medicine literature.
Similar(55)
Together, this justifies the applicability of the SIC model through its ability to allow for multiple different injury types within players that recognises that the within-player dependencies are likely to be stronger for recurrent (exact same) injuries or injury exacerbations, rather than multiple (different but new) injury outcomes.
A significant LRT suggests that a random effect (frailty) accounts for the within-player correlation between injuries.
The frailty model is characterised by its inclusion of a random effect, or frailty, term can account for the within-player correlation between injuries.
On the rare occasion when researchers have recognised within-player injury dependency, they have only modelled the time to first injury and have excluded valuable information about any subsequent injuries from consideration.
The competitive fires still burn within Player.
Action relevance is manipulated randomly across conjectures within player.
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