Yao YanginTowards Data ScienceMeta-learners for Estimating Treatment Effect in Causal InferenceDemystifying T-learner, S-learner and X-learner in causal ML5 min read·Dec 29, 2019--1--1
Yao YanginTowards Data ScienceG-computation in Causal InferenceIn my previous post ‘Targeted Maximum Likelihood (TMLE) for Causal Inference’, I mentioned that TMLE would outperform G-computation, as…4 min read·Jun 9, 2019--4--4
Yao YanginTowards Data ScienceTargeted Maximum Likelihood (TMLE) for Causal InferenceTargeted Learning (TMLE) is proposed by van der Laan & Rubin in 2006 [1] as an automated (as opposed to do-it-yourself) causal inference…4 min read·May 17, 2019--2--2