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Visualizing Alzheimer's disease progression in low dimensional manifolds
Boost-R: Gradient boosted trees for recurrence data
Boost-R is the first gradient boosted additive-tree-based approach for modeling large-scale recurrent event data with both static and dynamic feature information, which helps to avoid parametric assumptions on the complex interactions between event processes and features.
TRACKING ALZHEIMER’S DISEASE PROGRESSION BY NON-LINEAR DIMENSION REDUCTION OF BRAIN MRI FEATURES
Limitations of clinical trial sample size estimate by subtraction of two measurements
The aim of this study is to discuss the limitation of sample size estimation based on the subtraction of available data from only two time points for RCTs and recommends using more than two measurements and more comprehensive approaches such as linear mixed effect models.