Model-assisted design of experiments in the presence of network-correlated outcomes

SUMMARY In this paper we consider how to assign treatment in a randomized experiment in which the correlation among the outcomes is informed by a network available pre-intervention. Working within the potential outcome causal framework, we develop a class of models that posit such a correlation stru...

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Veröffentlicht in:	Biometrika Jg. 105; H. 4; S. 849 - 858
Hauptverfasser:	Basse, Guillaume W, Airoldi, Edoardo M
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford University Press 01.12.2018
Schlagworte:	Causal inference Rerandomization Randomized experiment Network balance Degree distribution Network data Optimal treatment allocation
ISSN:	0006-3444, 1464-3510
Online-Zugang:	Volltext
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