Table 3.
Statistical models for each analytic method, as applied to biomarkers measured in serum.
| Method | logit[Pr(BC)] = |
|---|---|
| 1. Unadjusted | α + β × EPz + δ × W |
| 2. Standardized | α + β × ratioz + δ × W |
| 3. Covariate-adjusted standardization | α + β × Cratioz + δ × W |
| 4. Covariate adjustment | α + β × EPz + λ × SLL + δ × W |
| 5. 2-stage model | α + β × EPz + θ × R + δ × W; SLL = α + β × EPz + R |
| 6. Standardization plus covariate adjustment | α + β × ratioz + λ × SLL + δ × W |
| 7. Covariate-adjusted standardization plus covariate adjustment | α + β × Cratioz + λ × SLL + δ × W |
| Abbreviations: Cratio, ; EP, proxy exposure level; EPz, proxy exposure z-score; ratioz, z-score for EP:SLL ratio; SLL, serum lipid level; , predicted SLL. SLL predicted based on X2 in all scenarios. W not included in scenario D. In scenarios E and F, W = X2. | |