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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 | Publisher: | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD | Source: | 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 | Keywords: | cluster analysis; discriminant analysis; longitudinal data; multivariate methods; psychiatry;cluster analysis; discriminant analysis; longitudinal data; multivariate methods; psychiatry | Document URI: | http://hdl.handle.net/1942/10440 | ISSN: | 0266-4763 | e-ISSN: | 1360-0532 | DOI: | 10.1080/02664760802688673 | ISI #: | 000273871400011 | Rights: | © 2010 Taylor & Francis | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2011 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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serroyen.pdf | Peer-reviewed author version | 338.69 kB | Adobe PDF | View/Open |
serroyen2010.pdf Restricted Access | Published version | 424.59 kB | Adobe PDF | View/Open Request a copy |
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