Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease

Prediction of Conversion to Alzheimer’s Disease with Longitudinal Measures and Time-To-Event Data

(2017) Kan Li et al.   JOURNAL OF ALZHEIMERS DISEASE

2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

(2015) Michael W. Weiner et al.   Alzheimers & Dementia

BFLCRM: A Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer’s disease

(2015) Eunjee Lee et al.   Annals of Applied Statistics

Cox regression models with functional covariates for survival data

(2015) Jonathan E. Gellar et al.   STATISTICAL MODELLING

Prediction of coronary artery disease risk based on multiple longitudinal biomarkers

(2015) Lili Yang et al.   STATISTICS IN MEDICINE

Functional Regression

(2015) Jeffrey S. Morris   Annual Review of Statistics and Its Application

JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data

(2015) Dimitris Rizopoulos   Journal of Statistical Software

Combining Dynamic Predictions From Joint Models for Longitudinal and Time-to-Event Data Using Bayesian Model Averaging

(2014) Dimitris Rizopoulos et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception

(2013) Michael W. Weiner et al.   Alzheimers & Dementia

Longitudinal scalar-on-functions regression with application to tractography data

(2013) J. Gertheiss et al.   BIOSTATISTICS

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus

(2013) Jie Shi et al.   NEUROIMAGE

Evaluating Alzheimer’s Disease Progression Using Rate of Regional Hippocampal Atrophy

(2013) Edit Frankó et al.   PLoS One

Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements

(2012) Jeff Goldsmith et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Predicting Future Clinical Changes of MCI Patients Using Longitudinal and Multimodal Biomarkers

(2012) Daoqiang Zhang et al.   PLoS One

Joint latent class models for longitudinal and time-to-event data: A review

(2012) Cécile Proust-Lima et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Bootstrap-based inference on the difference in the means of two correlated functional processes

(2012) Ciprian M. Crainiceanu et al.   STATISTICS IN MEDICINE

Longitudinal Change of Biomarkers in Cognitive Decline

(2011) Raymond Y. Lo   ARCHIVES OF NEUROLOGY

Penalized Functional Regression

(2011) Jeff Goldsmith et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Surface-based TBM boosts power to detect disease effects on the brain: An N=804 ADNI study

(2011) Yalin Wang et al.   NEUROIMAGE

Identification of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Multivariate Predictors

(2011) Yue Cui et al.   PLoS One

Longitudinal functional principal component analysis

(2010) Sonja Greven et al.   Electronic Journal of Statistics

Functional linear regression that’s interpretable

(2009) Gareth M. James et al.   ANNALS OF STATISTICS

Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort

(2009) Shannon Risacher et al.   Current Alzheimer Research

A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data

(2009) Jie Peng et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease

(2009) Anqi Qiu et al.   NEUROIMAGE

Subregional hippocampal atrophy predicts Alzheimer's dementia in the cognitively normal

(2008) Liana G. Apostolova et al.   NEUROBIOLOGY OF AGING

Continuous medial representation of brain structures using the biharmonic PDE

(2008) Paul A. Yushkevich   NEUROIMAGE