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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10440

Title: Characterizing persistent disturbing behavior using longitudinal and multivariate techniques
Authors: Serroyen, Jan
Bruckers, Liesbeth
Rogiers, Geert
Molenberghs, Geert
Issue Date: 2010
Citation: JOURNAL OF APPLIED STATISTICS, 37 (2). p. 341-355
Abstract: Persistent disturbing behavior (PDB) refers to a chronic condition in therapy-resistant psychiatric patients. Since these patients are highly unstable and difficult to maintain in their natural living environment and even in hospital wards, it is important to properly characterize this group. Previous studies in the Belgian province of Limburg indicated that the size of this group was larger than anticipated. Here, using a score calculated from longitudinal psychiatric registration data in 611 patients, we characterize the difference between PDB patients and a set of control patients. These differences are studied both at a given point in time, using discriminant analysis, as well as in terms of the evolution of the score over time, using longitudinal data analysis methods. Further, using clustering techniques, the group of PDB patients is split into two subgroups, characterized in terms of a number of ordinal scores. Such findings are useful from a scientific as well as from an organizational point of view.
Notes: [Serroyen, Jan; Bruckers, Liesbeth; Molenberghs, Geert] Hasselt Univ, Interuni Ctr Biostat & Stat Bioinformat, Diepenbeek, Belgium. [Serroyen, Jan] Univ Maastricht, Dept Methodol & Stat, Maastricht, Netherlands. [Rogiers, Geert] Psychiat Hosp Sancta Maria, St Truiden, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Interuni Ctr Biostat & Stat Bioinformat, Louvain, Belgium. geert.molenberghs@uhasselt.be
URI: http://hdl.handle.net/1942/10440
DOI: 10.1080/02664760802688673
ISI #: 000273871400011
ISSN: 0266-4763
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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