AAIC 2023
Systolic blood pressure and probable dementia: a secondary analysis of a randomized clinical trial using joint longitudinal and survival models to analyze how change in systolic blood pressure over time associates with risk for dementia.
Systolic blood pressure and probable dementia: a secondary analysis of a randomized clinical trial using joint longitudinal and survival models to analyze how change in systolic blood pressure over time associates with risk for dementia.
A live demonstration of the aorsf R package, which provides fast routines to fit and interpret oblique random survival forests (RSFs). The talk also provides a light introduction to supervised learning, random forests, and oblique trees.
The oblique random survival forest (RSF) is an ensemble supervised learning method for right-censored outcomes. Oblique RSF ensembles often have higher prediction accuracy than standard RSF ensembles. However, computational overhead and lack of interpretability are pervasive limitations of the oblique RSF, In this talk, I introduce a method to increase computational efficiency of the oblique RSF and a method to estimate importance of individual predictor variables with the oblique RSF. Both methods are available in the aorsf
R package.
The oblique random survival forest (RSF) is an ensemble supervised learning method for right-censored outcomes. Oblique RSF ensembles often have higher prediction accuracy than standard RSF ensembles. However, computational overhead and lack of interpretability are pervasive limitations of the oblique RSF, In this talk, I introduce a method to increase computational efficiency of the oblique RSF and a method to estimate importance of individual predictor variables with the oblique RSF. Both methods are available in the aorsf
R package.