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To determine how various risk factors help to explain the incidence deficit of coronary heart disease (CHD) in black males as compared with white males in Evans County, Georgia, multivariate analyses involving use of multiple logistic functions were employed. Four variables found to be the best predictors of CHD for white males were smoking, electrocardiogram, and the interactive relationships between blood pressure and age and cholesterol and age. When risks for the black population were computed by applying the best white male model adjusted for black incidence to the black male data, it was concluded that blacks respond to the four risk factors similarly to whites but always at a lower level of CHD (due to unmeasured factors).
David G. Kleinbaum (Wed,) studied this question.