Yao YanginTowards Data ScienceMeta-learners for Estimating Treatment Effect in Causal InferenceDemystifying T-learner, S-learner and X-learner in causal MLDec 29, 20191Dec 29, 20191
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…Jun 9, 20194Jun 9, 20194
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…May 17, 20192May 17, 20192
