4. Exposure–response modeling
Sielken and Valdez-Flores [22,23] used Cox-proportional regression
modeling to fit the most recent 2004 UAB epidemiological
data. Sielken and Valdez-Flores [22,23] indicate that in the Cox
regression analyses, the cancer mortality hazard rate at each time
(age) is modeled as the background hazard rate multiplied by a
rate ratio (RR), and the RR is modeled as a function of the individual’s
age-dependent cumulative BD exposure; that is: