Estimation of Epidemiologic Interaction of Etiologic Factors in Biomedical Studies

✍ Scribed by Professor B. Raja Rao

• Book ID: 101718713
• Publisher: John Wiley and Sons
• Year: 2007
• Tongue: English
• Weight: 469 KB
• Volume: 32
• Category: Article
• ISSN: 0323-3847
• DOI: 10.1002/bimj.4710320510

✦ Synopsis

In the present paper, a multiple logistic model has been proposed to estimate the exposure-specifia incidence rates of several dichotomous etiologic factors from case-control data. The relative probability of falling in a given exposure level with respect to t h e unexposed population for w s is expreased as a logistic function of the exposure levels (1 if exposed, 0 if not) of these factors. The odds ratio of the exposure category of c88e8 relative to the controls comes out to be a n exponential function of the exposure levels. It is shown how the maximum likelihood estimates of the logistic parameters can be obtained. The term 'marginal effect' of a factor is introduced. This is the effect of a factor A in the presence of one or more of other factors. The difference 8~ between the marginal effect and the individual effect of a factor A is the increase in the effect of A when it interacts with other factors. A simple relationship has been established between the Hogan e t al. measure and the increases SA, Ss, ... of two or more factors. Several numerical examples illustrate the results.