Targeted Minimum Loss Based Estimator that Outperforms a given Estimator

@article{Gruber2012TargetedML,
  title={Targeted Minimum Loss Based Estimator that Outperforms a given Estimator},
  author={Susan Gruber and Mark J. van der Laan},
  journal={The International Journal of Biostatistics},
  year={2012},
  volume={8}
}
Targeted minimum loss based estimation (TMLE) provides a template for the construction of semiparametric locally efficient double robust substitution estimators of the target parameter of the data generating distribution in a semiparametric censored data or causal inference model (van der Laan and Rubin (2006), van der Laan (2008), van der Laan and Rose (2011)). In this article we demonstrate how to construct a TMLE that also satisfies the property that it is at least as efficient as a user… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 16 REFERENCES

The construction and analysis of adaptive group sequential designs,

  • M. J. van der Laan
  • Technical Report 232,
  • 2008
VIEW 20 EXCERPTS
HIGHLY INFLUENTIAL

Super learner,

  • M. van der Laan, E. Polley, A. Hubbard
  • Statistical Applications in Genetics and Molecular Biology,
  • 2007
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

TMLE that outperforms a given estimator Published by De Gruyter, 2012 Unauthenticated

  • Gruber, van der Laan
  • 2012

2010a): “An application of collaborative targeted

  • S. Gruber, M. van der Laan
  • 2010