Dynamic predictions in Bayesian functional joint models 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

Individualized dynamic prediction of prostate cancer recurrence with and without the initiation of a second treatment: Development and validation

(2016) Mbéry Sène et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Functional Data Analysis

(2016) Jane-Ling Wang et al.   Annual Review of Statistics and Its Application

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

Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks

(2014) Paul Blanche et al.   BIOMETRICS

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

Real-Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models

(2013) Jeremy M. G. Taylor et al.   BIOMETRICS

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

(2013) J. Gertheiss et al.   BIOSTATISTICS

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

Longitudinal Change of Biomarkers in Cognitive Decline

(2011) Raymond Y. Lo   ARCHIVES OF NEUROLOGY

Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data

(2011) Dimitris Rizopoulos   BIOMETRICS

Penalized Functional Regression

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

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

(2011) Yue Cui et al.   PLoS One

Explaining Variational Approximations

(2010) J. T. Ormerod et al.   AMERICAN STATISTICIAN

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