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Unpublished Paper
Targeted Maximum Likelihood Estimation: A Gentle Introduction
U.C. Berkeley Division of Biostatistics Working Paper Series
  • Susan Gruber, UC Berkeley
  • Mark J. van der Laan, University of California - Berkeley
Date of this Version
This paper provides a concise introduction to targeted maximum likelihood estimation (TMLE) of causal effect parameters. The interested analyst should gain sufficient understanding of TMLE from this introductory tutorial to be able to apply the method in practice. A program written in R is provided. This program implements a basic version of TMLE that can be used to estimate the effect of a binary point treatment on a continuous or binary outcome.
Citation Information
Susan Gruber and Mark J. van der Laan. "Targeted Maximum Likelihood Estimation: A Gentle Introduction" (2009)
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