An Overview of Methods in the Analysis of Dependent ordered catagorical Data: Assumptions and Implications
AbstractSubjective assessments of pain, quality of life, ability etc. measured by rating scales and questionnaires are common in clinical research. The resulting responses are categorical with an ordered structure and the statistical methods must take account of this type of data structure. In this paper we give an overview of methods for analysis of dependent ordered categorical data and a comparison of standard models and measures with nonparametric augmented rank measures proposed by Svensson. We focus on assumptions and issues behind model specifications and data as well as implications of the methods. First we summarise some fundamental models for categorical data and two main approaches for repeated ordinal data; marginal and cluster-specific models. We then describe models and measures for application in agreement studies and finally give a summary of the approach of Svensson. The paper concludes with a summary of important aspects.
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Bibliographic InfoPaper provided by Örebro University, School of Business in its series Working Papers with number 2008:7.
Length: 31 pages
Date of creation: 08 Aug 2008
Date of revision:
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Postal: Örebro University School of Business, SE - 701 82 ÖREBRO, Sweden
Phone: 019-30 30 00
Fax: 019-33 25 46
Web page: http://www.oru.se/Institutioner/Handelshogskolan-vid-Orebro-universitet/
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Dependent ordinal data; GEE; GLMM; Logit; modelling;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-08-14 (All new papers)
- NEP-DCM-2008-08-14 (Discrete Choice Models)
- NEP-ECM-2008-08-14 (Econometrics)
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