Special Events

2015 Dec 02

ApplStatWksp: Edo Airoldi

12:00pm to 1:30pm


1737 Cambridge Street, K354

Estimating Causal Effects in the Presence of Interfering Units

Classical approaches to causal inference largely rely on the assumption of “lack of interference”, according to which the outcome of an individual does not depend on the treatment assigned to others. In many applications, however, such as designing and evaluating the effectiveness of healthcare interventions that leverage social structure, assuming lack of interference is untenable...

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