Multiple – equation models of ordered dependent variables in exploration of the results of rehabilitation of locomotive organ disorders

Jerzy Grosman and Mieczysław Kowerski ()

Statistics in Transition new series, 2011, vol. 12, issue 1, 157-178

Abstract: In the present paper concerning the analysis of the factors determining patient’s self-service during the admission and release from hospital a two-equation model of ordered dependent variables is proposed. These types of models are especially useful when the results of rehabilitation of locomotive organ disorders are not described by means of exact values obtained by mechanical measurements but they are described by means of qualitative valuation (ranking) made by a therapist when the distances between neighbouring ranks are not known. The advantages of the proposed model were presented on the basis of the results of estimation based on data of 4063 patients of hospitals from Mazowieckie and Warmińsko-Mazurskie provinces.

Keywords: Rehabilitation of locomotive organ disorders; Weiss test; multiple- equation model of ordered dependent variable; maximum likelihood estimation; McFadden determination coefficient - pseudo R2; count R-squared; probability of the norm in the self-service test (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v12_2011_i1_n11.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:12:y:2011:i:1:p:157-178

Access Statistics for this article

Statistics in Transition new series is currently edited by Włodzimierz Okrasa

More articles in Statistics in Transition new series from Główny Urząd Statystyczny (Polska) Contact information at EDIRC.
Bibliographic data for series maintained by Beata Witek ( this e-mail address is bad, please contact ).