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Substitute adjustment via recovery of latent variables
Our results support that when the latent variable model of the regressors hold, substitute adjustment is a viable method for adjusted regression.
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
Existing results on the identification of the causal structure among the latent variables often require very strong graphical assumptions.
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