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Statistical Methods in Medical Research|July 29, 2017
Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer's diseaseKan Li, Sheng LuoStat|January 15, 2026
Power and sample size calculation of two-sample projection-based testing for sparsely observed functional dataSalil Koner, Sheng LuoStatistics in Medicine|March 29, 2022
Deep learning for the dynamic prediction of multivariate longitudinal and survival dataJeffrey Lin, Sheng LuoStatistical Methods in Medical Research|April 18, 2013
Joint modeling of multivariate longitudinal measurements and survival data with applications to Parkinson's diseaseBo He, Sheng LuoStatistics in Medicine|August 7, 2019
Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time-to-event dataKan Li, Sheng LuoStatistics in Medicine|June 18, 2014
Bayesian hierarchical model for multiple repeated measures and survival data: an application to Parkinson's diseaseSheng Luo, Jue WangBiostatistics (Oxford, England)|February 27, 2024
Projection-based two-sample inference for sparsely observed multivariate functional dataSalil Koner, Sheng LuoStatistical Methods in Medical Research|October 12, 2018
Joint modeling of multiple repeated measures and survival data using multidimensional latent trait linear mixed modelJue Wang, Sheng LuoStatistical Methods in Medical Research|June 4, 2015
Bayesian multivariate augmented Beta rectangular regression models for patient-reported outcomes and survival dataJue Wang, Sheng LuoJournal of Applied Statistics|May 1, 2026
Deep learning for the joint analysis of item-level longitudinal and survival dataJeffrey Lin, Sheng LuoPageof 84