Data Fusion

In many applications in public health, medicine and social science, patient characteristics are dispersed over multiple files. Analysis that links two or more separate data sources is increasingly important as researchers seek to integrate administrative and clinical datasets while adapting to privacy regulations that limit access to unique identifiers. Dr. Gutman has developed novel Bayesian procedures to link units that appear in two datasets by treating the unknown linking as missing data. He is collaborating with health services researchers and clinicians to estimate the effects of policies and interventions as well as predict health outcomes from clinical and demographic variables.   

Roee Gutman

BACK TO THEORY AND METHODS

Accordion Location