Reliance upon administrative data constrains our ability to verify diagnoses, specify phenotypes, and consider a variety of covariates; it also limits our attention to those environmental hazards for which we have spatially and temporally resolved data. In spite of these limitations, however, advances in Geographic Information Systems (GIS), the spatial and temporal modeling of pollutants, and pharmacokinetics suggest that the validity of data linkages can be expected to increase. With these advances it becomes more likely that environmental epidemiological studies based on data linkage will make contributions to our understanding of autism, particularly in the form of hypothesis generation.
See more of: Invited Educational Symposia
See more of: Invited Education Symposia, Keynote Speakers, Awards