Causal Inference in the Presence of Latent Variables and Selection Bias
نویسندگان
چکیده
We show that there is a general, informative and reliable procedure for discovering causal relations when, for all the investigator knows, both latent variables and selection bias may be at work. Given information about con ditional independence and dependence rela tions between measured variables, even when latent variables and selection bias may be present, there are sufficient conditions for re liably concluding that there is a causal path from one variable to another, and sufficient conditions for reliably concluding when no such causal path exists.
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