Causal Inference: What If
On 19 Feb, 2021 By admin 0 Comments
2020
Miquel Hernan and Jamie Robins
The book is divided in three parts of increasing difficulty:
Part I is about causal inference without models (i.e., nonparametric identification of causal effects),
Part II is about causal inference with models (i.e., estimation of causal effects with parametric models).
Part III is about causal inference from complex longitudinal data (i.e., estimation of causal effects of time-varying treatments).