Evaluation of Causal Effects and Local Structure Learning of Causal Networks
Evaluation of Causal Effects and Local Structure Learning of Causal Networks is a scholarly work, published in 2019 in ''Annual Review of Statistics and Its Application''. The main subjects of the publication include causal model, instrumental variables estimation, causal structure, econometrics, computer science, psychology, Marginal structural model, missing data, causality, causal inference, variable, -, inference, confounding, and Bayesian network. The authors review criteria for confounders and methods of adjustment for observed and unobserved confounders.