2 papers
stat.ME2024
Bayesian shared parameter joint models for heterogeneous populations
Sida Chen, Danilo Alvares, Marco Palma +1
Joint models (JMs) for longitudinal and time-to-event data are an important class of biostatistical models in health and medical research. When the study population consists of het…
stat.ME2023
Bayesian blockwise inference for joint models of longitudinal and multistate processes
Sida Chen, Danilo Alvares, Christopher Jackson +1
Joint models (JM) for longitudinal and survival data have gained increasing interest and found applications in a wide range of clinical and biomedical settings. These models facili…