www.uhasselt.be
DSpace

Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/471

Title: Modelling strategies for longitudinal data with missingness
Authors: Jansen, Ivy
Molenberghs, Geert
Keywords: Longitudinal data
Missing data
Issue Date: 2003
Citation: Verbeke, Geert & Molenberghs, Geert & Aerts, Marc & Fieuws, Steffen (Ed.) Proceedings of the 18th International Workshop on Statistical Modelling. p. 207-210.
Abstract: A lot of research has been devoted to modelling strategies for longitudinal data with missingness, especially within the MNAR context. In this paper, an overview will be given of several existing methods, and the unexplored domain of non-monotone missingness with multivariate ordinal responses will be broached. In this context, the Multivariate Dale model (Molenberghs and Lesa®re 1999) will be used
URI: http://hdl.handle.net/1942/471
Link to publication: http://www.statmod.org/files/proceedings/iwsm2003_proceedings.pdf
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Published version92.96 kBAdobe PDF
Peer-reviewed author version63.99 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.