Targeted estimation of nuisance parameters to obtain valid statistical inference.

@article{Laan2014TargetedEO,
  title={Targeted estimation of nuisance parameters to obtain valid statistical inference.},
  author={Mark J. van der Laan},
  journal={The international journal of biostatistics},
  year={2014},
  volume={10 1},
  pages={29-57}
}
In order to obtain concrete results, we focus on estimation of the treatment specific mean, controlling for all measured baseline covariates, based on observing independent and identically distributed copies of a random variable consisting of baseline covariates, a subsequently assigned binary treatment, and a final outcome. The statistical model only assumes possible restrictions on the conditional distribution of treatment, given the covariates, the so-called propensity score. Estimators of… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

Data-Adaptive Bias-Reduced Doubly Robust Estimation.

The international journal of biostatistics • 2016
View 5 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 50 references

Collaborative double robust penalized targetedmaximum likelihoodestimation

vander LaanMJ, S Gruber
Int J Biostat • 2010
View 5 Excerpts
Highly Influenced

Targeted maximum likelihood learning

MJ van der Laan, D. Rubin
Int J Biostat • 2006
View 5 Excerpts
Highly Influenced

Unified methods for censored longitudinal data and causality

MJ vanderLaan, JM Robins
New York: Springer-Verlag, • 2003
View 6 Excerpts
Highly Influenced

Targeted learning

MJ vanderLaan, ML Petersen
Ensemble machine learning. New York: Springer, • 2012
View 2 Excerpts

Targeted learning: causal inference for observational and experimental data

MJ van der Laan, S. Rose
New York: Springer, • 2012

Cross-validated targeted minimum loss based estimation

W Zheng, MJ vanderLaan
2011
View 1 Excerpt

Similar Papers

Loading similar papers…