Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Berkowitz, M., Altman, R.M. and Loughin, T.M. (2024) Random Forests for Survival Data Which Methods Work Best and under What Conditions The International Journal of Biostatistics, 20, 315-345.

Objective Using primary care data, develop and validate sex-specific prognostic models that estimate the 10-year risk of people with non-diabetic hyperglycaemia developing type 2 diabetes. Design ...