Recently Published
Multi Level Modelling
An introduction into the importance of multi level modelling and how it can be utilised in sport.
Miller Time
A Memo in Hoover
AFL - Measuring Dangerousity
New way to measure Dangerous situations in AFL at ALL TIMES.
Predictive Modeling of Dementia: Variable Analysis
This project investigates the relationship between ASF (Atlas Scaling Factor), EDUC (years of education), and nWBV (Normalized Whole Brain Volume) in predicting dementia. It employs univariate analyses, Random Forest, and decision trees to identify significant predictors. The results show that lower brain volumes and education levels are associated with a higher risk of dementia, achieving an AUC of 0.73, indicating moderate predictive ability. The final model selected EDUC and nWBV as key variables for predictions.