TY - JOUR AU - Loureiro, Hugo AU - Carrasquinha, Eunice AU - Alho, Irina AU - Ferreira, Arlindo R. AU - Costa, Luís AU - Carvalho, Alexandra M. AU - Vinga, Susana PY - 2019 DA - 2019/01/17 TI - Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models JO - BMC Medical Informatics and Decision Making SP - 13 VL - 19 IS - 1 AB - Joint models (JM) have emerged as a promising statistical framework to concurrently analyse survival data and multiple longitudinal responses. This is particularly relevant in clinical studies where the goal is to estimate the association between time-to-event data and the biomarkers evolution. In the context of oncological data, JM can indeed provide interesting prognostic markers for the event under study and thus support clinical decisions and treatment choices. However, several problems arise when dealing with this type of data, such as the high-dimensionality of the covariates space, the lack of knowledge about the function structure of the time series and the presence of missing data, facts that may hamper the accurate estimation of the JM. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-018-0728-1 DO - 10.1186/s12911-018-0728-1 ID - Loureiro2019 ER -