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Thursday, June 30 • 1:00pm - 1:05pm
Estimating causal dose response functions using the causaldrf R package

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Causal inference aims at the fundamental question of how changing the level of a cause or treatment can affect a subsequent outcome. Whether data analysts want to admit it or not, many analyses in behavioral, social, biomedical, and other fields of science are aimed at understanding causal relationships, even when the data or methods are not well suited to the task.nnThis presentation gives an overview of the causaldrf R package which addresses the relatively under-explored problem of estimating causal effects when the treatment is real-valued and continuous.


Tal Galili

Tel Aviv University


Douglas Galagate

U.S. Census Bureau

Thursday June 30, 2016 1:00pm - 1:05pm
McCaw Hall 326 Galvez Street Stanford, CA 94305-6105

Attendees (46)