Bayesian inference for causal effects in randomized experiments with noncompliance : The role of multivariate outcomes

@inproceedings{Li2012BayesianIF,
  title={Bayesian inference for causal effects in randomized experiments with noncompliance : The role of multivariate outcomes},
  author={Fan Li and Alessandra Mattei and Fabrizia Mealli},
  year={2012}
}
Principal Stratification (PS) is a principled framework for addressing noncompliance issues. Due to the latent nature of principal strata, model-based PS analysis usually involves weakly identified models and identification of causal effects relies on untestable structural assumptions, such as exclusion restriction. This article develops a Bayesian approach to exploit multivariate outcomes to sharpen inferences for weakly identified models within PS. Simulation studies are performed to… CONTINUE READING
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