Modeling risk using generalized linear models
Publication Source
Blough, D.K., Madden, C.W., Hornbrook, M.C.
. 

Journal of Health Economics

Journal article
Metadata
Region
The Americas
Economy status
High-income economies
Tags
High-income economies, United States, The Americas, Journal article
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Listed in:
Impact of tax on tobacco use / Adults' demand for tobacco products / Theoretical frameworks / Analysis of survey data / Tax, price and tobacco use: Adults
Abstract

Traditionally, linear regression has been the technique of choice for predicting medical risk. This paper presents a new approach to modeling the second part of two-part models utilizing extensions of the generalized linear model. The primary method of estimation for this model is maximum likelihood. This method as well as the generalizations quasi-likelihood and extended quasi-likelihood are discussed. An example using medical expense data from Washington State employees is used to illustrate the methods. The model includes demographic variables as well as an Ambulatory Care Group variable to account for prior health status.