| Literature DB >> 24419399 |
Dimitris Rizopoulos1, Emmanuel Lesaffre.
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.Keywords: Dropout; longitudinal data; missing data; random effects; survival data; time-dependent covariates
Mesh:
Year: 2014 PMID: 24419399 DOI: 10.1177/0962280212445800
Source DB: PubMed Journal: Stat Methods Med Res ISSN: 0962-2802 Impact factor: 3.021