Title
Multilevel grouped regression for analyzing self-reported health in relation to environmental factors: The model and its application
Author
Miedema, H.M.E.
Groothuis-Oudshoorn, C.G.M.
TNO Bouw en Ondergrond
Publication year
2006
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
Subject
Urban Development
Acoustics and Audiology
Built Environment
Confidence and tolerance intervals
Exposure-response relationships
Grouped regression
Polychotomous
Random effects
Self-reported health
algorithm
article
biological model
biometry
computer simulation
environmental exposure
evaluation
health survey
human
mathematical computing
mental stress
methodology
Netherlands
regression analysis
risk assessment
statistical analysis
statistical model
statistics
traffic noise
Algorithms
Biometry
Computer Simulation
Data Interpretation, Statistical
Environmental Exposure
Health Status Indicators
Health Surveys
Humans
Models, Biological
Models, Statistical
Netherlands
Noise, Transportation
Numerical Analysis, Computer-Assisted
Regression Analysis
Risk Assessment
Stress, Psychological
To reference this document use:
http://resolver.tudelft.nl/uuid:3c36c313-6518-434a-9f59-c9792989c698
TNO identifier
470387
Source
Biometrical Journal, 48 (1), 67-82
Document type
article