A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers

Robustness of linear mixed‐effects models to violations of distributional assumptions

(2020) Holger Schielzeth et al.   Methods in Ecology and Evolution

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

CXCR3 Ligands Are Associated with the Continuum of Diffuse Alveolar Damage to Chronic Lung Allograft Dysfunction

(2013) Michael Y. Shino et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

A Bayesian approach to joint analysis of multivariate longitudinal data and parametric accelerated failure time

(2013) Sheng Luo   STATISTICS IN MEDICINE

Longitudinal data analysis with non-ignorable missing data

(2012) Chi-hong Tseng et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Joint Modeling of Multiple Longitudinal Patient-Reported Outcomes and Survival

(2011) Laura A. Hatfield et al.   Journal of Biopharmaceutical Statistics

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

(2011) Dimitris Rizopoulos et al.   STATISTICS IN MEDICINE

Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach

(2009) C. Proust-Lima et al.   BIOSTATISTICS

Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach

(2008) Cécile Proust-Lima et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Joint modelling of longitudinal and competing risks data

(2008) P. R. Williamson et al.   STATISTICS IN MEDICINE