ABSTRACT
Data adjustment by regression provides the epidemiologist a powerful method to study the association between various exposures to various risk factors and disease status. Recall Chapter 3 where introductory adjustment techniques are described and are confined to one confounder and one risk factor. When several risk factors and confounders are available, regression models are ideal and are a standard tool for the analysis of data. Regression analysis is an important topic in statistics, and many textbooks are accessible. For a good introduction see the study by Chatterjee and Price,1 and for a Bayesian approach see the study by Ntzoufras.2
