• Corpus ID: 42208281

The International Journal of Biostatistics CAUSAL INFERENCE Selective Ignorability Assumptions in Causal Inference

@inproceedings{Joffe2011TheIJ,
  title={The International Journal of Biostatistics CAUSAL INFERENCE Selective Ignorability Assumptions in Causal Inference},
  author={Marshall M. Joffe and Wei Yang and Harold I. Feldman},
  year={2011}
}
Most attempts at causal inference in observational studies are based on assumptions that treatment assignment is ignorable. Such assumptions are usually made casually, largely because they justify the use of available statistical methods and not because they are truly believed. It will often be the case that it is plausible that conditional independence holds at least approximately for a subset but not all of the experience giving rise to one's data. Such selective ignorability assumptions may…