Jue Wang

Bayesian multivariate augmented Beta rectangular regression models for patient-reported outcomes and survival data

S. Luo, Jue Wang, 2017, Statistical methods in medical research.

Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's disease

S. Luo, Sheng Luo, Jue Wang, 2014, Statistics in medicine.

Augmented Beta rectangular regression models: A Bayesian perspective

S. Luo, Jue Wang, 2016, Biometrical journal. Biometrische Zeitschrift.

DYNAMIC PREDICTION FOR MULTIPLE REPEATED MEASURES AND EVENT TIME DATA: AN APPLICATION TO PARKINSON'S DISEASE.

Liang Li, S. Luo, Liang Li, 2016, The annals of applied statistics.

Dynamic prediction using joint models of longitudinal and recurrent event data: a Bayesian perspective

Sheng Luo, X Ren, J Wang, 2019, Biostatistics & Epidemiology.

Multidimensional latent trait linear mixed model: an application in clinical studies with multivariate longitudinal outcomes

S. Luo, Jue Wang, 2017, Statistics in medicine.

Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's disease

S. Luo, Jue Wang, 2014, Statistics in medicine.