Fundamentals of Causal Inference
With this clear, rigorous, and readable presentation of causal inference concepts with basic principles of probabilities and statistics, Brumback's text will greatly enhance the accessibility of…
Specifikacia Fundamentals of Causal Inference
With this clear, rigorous, and readable presentation of causal inference concepts with basic principles of probabilities and statistics, Brumback's text will greatly enhance the accessibility of causal inference to students, researchers and practitioners in a wide variety of disciplines. -Debashis Ghosh, in International Statistical Review, March 2022One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. Fundamentals of Causal Inference explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models, including standardization, difference-in-differences estimation, the front-door method, instrumental variables estimation, and propensity score methods. It also covers effect-measure
Fundamentals of Causal Inference
Causal Inference
Causal Inference: The Mixtape
Explanation in Causal Inference