The back ground rates was in fact modeled utilizing the same standard design as the for strong cancers
Are you aware that records design, differences when considering first and next cancer in the ? therefore the altering results of the other activities was basically checked-out of the comparing factor opinions getting p = step 1 and p = 2.
Leukemia incidence rates were investigated using additive models of the form ? d , c , s , a , e , t , p , f , m = ? 0 ( c , s , a , e , t , p , f , m ) + E ? A ? R ( d , c , s , a , e , t , p , f , m ) , where EAR(.) is the excess additive risk (EAR). Following the approach of BEIR http://www.datingranking.net/pl/cougar-life-recenzja/ VII. (23), EAR(d) = ?s(d)?(c, a, e, t, p, f, m) was modeled using a sex-specific linear-quadratic function of dose ?s(d) = ?sd(1 + ?d) where ?, the curvature of the dose-response function, was assumed to be the same for both sexes. Dose effect modification was modeled as ? ( c , a , e , t , p , f , m ) = exp < ?>.
The Poisson regression models defined above were fit using the Epicure software package. Differences between background models and dose-response models of first and second malignancies were tested using likelihood ratio tests. Ninety-five percent confidence intervals (95% CI) were calculated by Wald’s method for parameters in exponential terms, and from profile likelihoods for dose-response parameters ?