Interference Between Units in Randomized Experiments

By Paul R. Rosenbaum. 2007

397 citations recorded by the source corpus.

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Citations in the corpus

Causal diagrams for interference (2014, background): “This may be justified if the blocks are separated by time or space (Hudgens and Halloran, 2008; Sobel, 2006; Tchetgen Tchetgen and VanderWeele, 2012; Rosenbaum, 2007).”
Do spatially targeted redevelopment programs spillover (2013, background): “…for evaluation, the estimated effects of policy are biased, as the presence of spillovers violates the no interference assumption between treatment and control groups necessary for policy evaluation (Rosenbaum, 2007).2 Regional Science and Urban Economics, Vol. 43, No. 1 (2013): pg. 86-100.”
Social Networks and Causal Inference (2013, background): “…interference or spillover effects in which the exposure of one individual can affect the outcomes of others (Hong and Raudenbush 2006; Sobel 2006; Rosenbaum 2007; Hudgens and Halloran 2008; Graham 2008; VanderWeele and Tchetgen Tchetgen 2011; Tchetgen Tchetgen and VanderWeele 2012; Manski…”
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference (2020, methodology): “Other approaches lay out methods based on randomization inference to test a variety of hypotheses under interference and treatment randomization (Rosenbaum, 2007; Aronow, 2012; Athey et al., 2018).”
Toward Causal Inference With Interference (2008, methodology): “In education, interventions given to certain students may affect other students in the same class (Rubin 1990; Rosenbaum 2007).”
Elements of estimation theory for causal effects in the presence of network interference (2017, background): “General interference has been studied occasionally [Rosenbaum, 2007] but typically allowing for any unit’s treatment to effect any unit’s outcome makes design and analysis major challenges.”
Identification and Estimation of Spillover Effects in Randomized Experiments (2017, background): “…setting, identification issues are largely absent from this literature, and focus is placed mainly on p-values, variance and confidence interval calculations (Rosenbaum, 2007; Hudgens and Halloran, 2008; Tchetgen Tchetgen and VanderWeele, 2012; Liu and Hudgens, 2014; Basse and Feller, 2018).”
Estimating Direct and Indirect Effects of Foreign Direct Investment on Firm Productivity in the Presence of Interactions between Firms (2014, methodology): “We use this definition of clusters as it is in line with the finding in much of the empirical 6 Seminal theoretical papers on “causal inference with interactions” include Sobel (2006); Rosenbaum (2007); Hudgens and Halloran (2008) and Manski (2013).”
Optimal a priori balance in the design of controlled experiments (2013, background): “As is common for controlled trials, we assume non-interference (see Cox (1958), Rubin (1986) and Rosenbaum (2007)), i.e. a subject who is assigned to a certain treatment exhibits the same outcome regardless of others’ assignments.”
Causal inference with misspecified exposure mappings: separating definitions and assumptions (2021, background): “Rosenbaum (2007) uses similar ideas to show that certain test statistics can be inverted to form an estimate of the shift in the ranks of the outcomes for treated units relative to controls without any restrictions on the interference.”
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond (2021, background): “Consistency will also be violated if the treatment assignment of one unit affects the potential outcomes of another; a phenomenon called interference (Rosenbaum, 2007).”
Causal Inference for a Single Group of Causally-Connected Units Under Stratified Interference (2017, background): “Recently, a literature has emerged relaxing the assumption of no interference (Sobel, 2006; Rosenbaum, 2007; Hudgens and Halloran, 2008; Tchetgen Tchetgen and VanderWeele, 2012; Athey et al., 2016, among others).”
Large sample randomization inference of causal effects in the presence of interference (2014, background): “Rosenbaum (2007) presents several other examples where interference may be present.”