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math.ST2018★ 9 cited
Propensity score methodology in the presence of network entanglement between treatments
Panos Toulis, Alexander Volfovsky, Edoardo M. Airoldi
In experimental design and causal inference, it may happen that the treatment is not defined on individual experimental units, but rather on pairs or, more generally, on groups of…
math.ST2017
Designs for estimating the treatment effect in networks with interference
Ravi Jagadeesan, Natesh Pillai, Alexander Volfovsky
In this paper we introduce new, easily implementable designs for drawing causal inference from randomized experiments on networks with interference. Inspired by the idea of matchin…