Pages that link to "Item:Q2189620"
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The following pages link to Functional linear regression model with randomly censored data: predicting conversion time to Alzheimer 's disease (Q2189620):
Displaying 7 items.
- BFLCRM: a Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer's disease (Q262406) (← links)
- Linearized and kernelized sparse multitask learning for predicting cognitive outcomes in Alzheimer's disease (Q1731300) (← links)
- FLCRM: Functional linear cox regression model (Q3119810) (← links)
- Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression (Q4556719) (← links)
- Leveraging nonlinear dynamic models to predict progression of neuroimaging biomarkers (Q5121039) (← links)
- Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease (Q6079458) (← links)
- Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors (Q6079719) (← links)