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Showing 1 to 1 of 1 for “"Randomized controlled trials, networks, treatment effects, subgroups, inference"”.

  1. Causal inference for complex data: randomization inference for treatment effect heterogeneity, network outcomes, and subgroup specific effects

    … presents three new methodologies for analyzing randomized controlled trials using the researcher controlled randomization mechanism as the basis for inference. The first method extends inference for the ``attributable effect'', the total of the difference of outcomes if the treatment group had …

    uiuc Repository record for Causal inference for complex data: randomization inference for treatment effect heterogeneity, network outcomes, and subgroup specific effects (opens in a new tab)