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Some notes of causal inference, semiparametric theory and TMLE

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TMLE Study Guide

The expected structure of this tutorial is: (a) Brief description of TMLE (b) Analysis Pipeline for optimizing ATE via TMLE (c) Example Code (d) Introduction for SuperLearner (e) Theorectical foundation(eg. semiparametric, efficient theory etc.)

Finished: (a) ~ (d)

For (d), a study guide for the use of sl in time series: https://github.com/tlverse/sl3_lecture/blob/master/sl3_timeseries.Rmd

To DO List

  1. Extension of OnlineSuperLearner
  2. Dynamic and Optimal Individualized Treatment Regimes

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Some notes of causal inference, semiparametric theory and TMLE

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