Multilevel Grouped Regression for Analyzing Self-reported Health in Relation to Environmental Factors: the Model and its Application

Share/Save/Bookmark

Groothuis-Oudshoorn, Catharina G.M. and Miedema, Henk M.E. (2006) Multilevel Grouped Regression for Analyzing Self-reported Health in Relation to Environmental Factors: the Model and its Application. Biometrical Journal, 48 (1). pp. 67-82. ISSN 0323-3847

[img]PDF
Restricted to UT campus only
: Request a copy
761Kb
Abstract:A method for modeling the relationship of polychotomous health ratings with predictors such as area characteristics, the distance to a source of environmental contamination, or exposure to environmental pollutants is presented. The model combines elements of grouped regression and multilevel analysis. The statistical model describes the entire response distribution as a function of the predictors so that any measure that summarizes this distribution can be calculated from the model. With the model, polychotomous health ratings can be used, and there is no need for a priori dichotomizing such variables which would lead to loss of information. It is described how, according to the model, various measures describing the response distribution are related to the exposure, and the confidence and tolerance intervals for these relationships are presented. Specific attention is given to the incorporation of random factors in the model. The application that here serves as an example, concerns annoyance from transportation noise. Exposure – response relationships obtained with the described method of modeling are presented for aircraft, road traffic, and railway noise.
Item Type:Article
Copyright:© 2006 Wiley
Faculty:
Management and Governance (SMG)
Research Group:
Link to this item:http://purl.utwente.nl/publications/76845
Official URL:http://dx.doi.org/10.1002/bimj.200410172
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page