Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models
The potential of normative modeling to make individualized predictions from neuroimaging data has enabled Salt Lamps inferences that go beyond the case-control approach.However, site effects are often confounded with variables of interest in a complex manner and can bias estimates of normative models, which has impeded the application of normative