Ignorability for general longitudinal data
(2017)
Journal Article
Farewell, D. M., Huang, C., & Didelez, V. (2017). Ignorability for general longitudinal data. Biometrika, 104(2), 317-326. https://doi.org/10.1093/biomet/asx020
Likelihood factors that can be disregarded for inference are termed ignorable. We demonstrate that close ties exist between ignorability and identification of causal effects by covariate adjustment. A graphical condition, stability, plays a role anal... Read More about Ignorability for general longitudinal data.