Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time‐to‐event data

The c-index is not proper for the evaluation of $t$-year predicted risks

(2018) Paul Blanche et al.   BIOSTATISTICS

Functional principal components analysis on moving time windows of longitudinal data: dynamic prediction of times to event

(2018) Fangrong Yan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

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

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

Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains

(2017) Clara Happ et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease

(2017) Kan Li et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

(2017) Kan Li et al.   STATISTICS IN MEDICINE

TheRPackageJMbayesfor Fitting Joint Models for Longitudinal and Time-to-Event Data Using MCMC

(2016) Dimitris Rizopoulos   Journal of Statistical Software

Survival analysis with functional covariates for partial follow-up studies

(2016) Hong-Bin Fang et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson’s disease

(2016) Bo He et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

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

Joint modeling of longitudinal drug using pattern and time to first relapse in cocaine dependence treatment data

(2015) Jun Ye et al.   Annals of Applied Statistics

Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach

(2015) Cécile Proust-Lima et al.   STATISTICS IN MEDICINE

Dementia: timely diagnosis and early intervention

(2015) L. Robinson et al.   BMJ-British Medical Journal

Dementia: timely diagnosis and early intervention

(2015) L. Robinson et al.   BMJ-British Medical Journal

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

Semiparametric Bayesian joint models of multivariate longitudinal and survival data

(2014) Nian-Sheng Tang et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

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

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

Corrected Confidence Bands for Functional Data Using Principal Components

(2012) J. Goldsmith et al.   BIOMETRICS

Efficient use of longitudinal CD4 counts and viral load measures in survival analysis

(2012) S. E. Holte et al.   STATISTICS IN MEDICINE

Potential endpoints for clinical trials in premanifest and early Huntington's disease in the TRACK-HD study: analysis of 24 month observational data

(2011) Sarah J Tabrizi et al.   LANCET NEUROLOGY

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

(2011) Yue Cui et al.   PLoS One

The Parkinson Progression Marker Initiative (PPMI)

(2011) Kenneth Marek et al.   PROGRESS IN NEUROBIOLOGY

A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event

(2011) Dimitris Rizopoulos et al.   STATISTICS IN MEDICINE

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

(2009) Shannon Risacher et al.   Current Alzheimer Research

Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data

(2007) Jimin Ding et al.   BIOMETRICS