Pages that link to "Item:Q6079458"
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The following pages link to Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease (Q6079458):
Displaying 13 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)
- Bayesian functional joint models for multivariate longitudinal and time-to-event data (Q1799810) (← links)
- Functional linear regression model with randomly censored data: predicting conversion time to Alzheimer 's disease (Q2189620) (← links)
- Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study (Q6047747) (← links)
- A Gaussian copula joint model for longitudinal and time-to-event data with random effects (Q6113736) (← links)
- Bayesian inference and dynamic prediction for multivariate longitudinal and survival data (Q6138582) (← links)
- Latent factor model for multivariate functional data (Q6589275) (← links)
- Joint mixed membership modeling of multivariate longitudinal and survival data for learning the individualized disease progression (Q6616333) (← links)
- Multivariate functional mixed model with MRI data: an application to Alzheimer's disease (Q6617508) (← links)
- Classified functional mixed effects model prediction (Q6618416) (← links)
- Generalized functional linear model with a point process predictor (Q6618446) (← links)
- Functional data analysis: an introduction and recent developments (Q6649359) (← links)
