Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer’s disease progression

Dynamic prediction: A challenge for biostatisticians, but greatly needed by patients, physicians and the public

(2019) Martin Schumacher et al.   BIOMETRICAL JOURNAL

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

(2019) Kan Li et al.   STATISTICS IN MEDICINE

Amyloid Beta and Tau Cooperate to Cause Reversible Behavioral and Transcriptional Deficits in a Model of Alzheimer’s Disease

(2019) Eleanor K. Pickett et al.   Cell Reports

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

(2018) Paul Blanche et al.   BIOSTATISTICS

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

(2018) Jared L. Katzman et al.   BMC Medical Research Methodology

Quantifying and estimating the predictive accuracy for censored time-to-event data with competing risks

(2018) Cai Wu et al.   STATISTICS IN MEDICINE

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

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

Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests

(2017) Chen Hu et al.   Journal of Biopharmaceutical Statistics

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

Survival trees for interval-censored survival data

(2017) Wei Fu et al.   STATISTICS IN MEDICINE

Brain fluorodeoxyglucose (FDG) PET in dementia

(2016) Takashi Kato et al.   AGEING RESEARCH REVIEWS

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

Hippocampal atrophy rates in Alzheimer disease: Added value over whole brain volume measures

(2009) W.J.P. Henneman et al.   NEUROLOGY

Interval censoring

(2009) Zhigang Zhang et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics