Instrumental variable methods for causal inference
Instrumental variable methods for causal inference is a scholarly work by Michael Baiocchi and Dylan Small, published in 2014 in ''Statistics in Medicine''. The main subjects of the publication include regularization, statistical data interpretation, instrumental variables estimation, econometrics, computer science, observational study, statistics, causal inference, variable, inference, confounding, and Bayesian network. A goal of many health studies is to determine the causal effect of a treatment or intervention on health outcomes.