To evaluate the risk associated with health outcomes; biomarkers of exposures are commonly obtained in epidemiological studies. However, mixed results have been obtained from these studies. One possible explanation for the mixed results is the methodological challenges that epidemiologist face when analyzing exposures. These include among others, dealing with a large number of observed exposures being below the level of detection (LOD) and imputation methods (i.e imputing zero for values bellow the LOD, etc.), and proper causal modeling, including adjustment for possible confounders (i.e. lipid adjustment vs standardization). We are developing methods to deal with some of these issues.
| Schisterman, Enrique F; Moysich, Kirsten B; England, Lucinda J et al. (2003) Estimation of the correlation coefficient using the Bayesian Approach and its applications for epidemiologic research. BMC Med Res Methodol 3:5 |
| Faraggi, David; Reiser, Benjamin; Schisterman, Enrique F (2003) ROC curve analysis for biomarkers based on pooled assessments. Stat Med 22:2515-27 |
| Schisterman, Enrique F (2002) Statistical analysis. Receiver operating characteristic (ROC) curve and lipid peroxidation. Methods Mol Biol 196:343-52 |
| Schisterman, Enrique F (2002) Statistical correction of the area under the ROC curve in the presence of random measurement error and applications to biomarkers of oxidative stress. Methods Mol Biol 186:313-7 |
