Constructing targeted minimum loss/maximum likelihood estimators: a simple illustration to build intuition

Rachael K. Ross, Lina M. Montoya, Dana E. Goin +2

Use of machine learning to estimate nuisance functions (e.g. outcomes models, propensity score models) in estimators used in causal inference is increasingly common, as it can miti…