Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16790
Title: Introduction to the special issue on joint modelling techniques Introduction
Authors: Rizopoulos, Dimitris
LESAFFRE, Emmanuel 
Issue Date: 2014
Source: STATISTICAL METHODS IN MEDICAL RESEARCH, 23 (1), p. 3-10
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; survival data; time-dependent covariates; random effects
Document URI: http://hdl.handle.net/1942/16790
ISSN: 0962-2802
e-ISSN: 1477-0334
DOI: 10.1177/0962280212445800
ISI #: 000330776100001
Rights: © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav
Category: A2
Type: Journal Contribution
Appears in Collections:Research publications

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