title: Introduction to the special issue on joint modelling techniques.
abstract: Joint modelling techniques have seen great advances in the recent years, with several types of joint models having been developed in literature that can handle a wide range of applications. This special issue of Statistical Methods in Medical Research presents some recent developments from this field. This introductory article contains some background material and highlights the contents of the contributions.
authors.affiliation: 1Department of Biostatistics, Erasmus University Medical Center, the Netherlands.
authors.forename: Dimitris
authors.initials: D
authors.lastname: Rizopoulos
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Lesaffre
mesh_terms: D006801:Humans; D008137:Longitudinal Studies; D015233:Models, Statistical
keywords: Dropout; longitudinal data; missing data; random effects; survival data; time-dependent covariates