Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer.

ABSTRACT: Joint modelling of longitudinal and survival data is increasingly used in clinical trials on cancer. In prostate cancer for example, these models permit to account for the link between longitudinal measures of prostate-specific antigen (PSA) and time of clinical recurrence when studying the risk of relapse. In practice, multiple types of relapse may occur successively. Distinguishing these transitions between health states would allow to evaluate, for example, how PSA trajectory and classical covariates impact the risk of dying after a distant recurrence post-radiotherapy, or to predict the risk of one specific type of clinical recurrence post-radiotherapy, from the PSA history. In this context, we present a joint model for a longitudinal process and a multi-state process, which is divided

SUBMITTER: Ferrer L 

PROVIDER: S-EPMC5012926 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature