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Effect partitioning under interference in two-stage randomized vaccine trials
Authors:Vanderweele Tyler J  Tchetgen Tchetgen Eric J
Institution:
  • Departments of Epidemiology and Biostatistics, Harvard School of Public Health, United States
  • Abstract:In the presence of interference, the exposure of one individual may affect the outcomes of others. We provide new effect partitioning results under interferences that express the overall effect as a sum of (i) the indirect (or spillover) effect and (ii) a contrast between two direct effects.
    Keywords:Causal inference  Interference  SUTVA  Spillover effects  Vaccine trials
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