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We consider estimation of a functional parameter of a realistically modeled data distribution based on observing independent and identically distributed observations.
Recovery of information and adjustment for dependent censoring using surrogate markers
J.M. Robins and A. Rotnitzky · 1992
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Inefficient estimators of the bivariate survival function for three models
R.D. Gill, M.J. van der Laan, and J.A. Wellner · 1995
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Efficient and adaptive estimation for semiparametric models
P.J. Bickel, C.A.J. Klaassen, Y. Ritov, and J. Wellner · 1997
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On methods of sieves and penalization
X. Shen · 1997
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Asymptotic statistics
A.W. van der Vaart · 1998
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Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilon-net estimator: finite sample oracle inequalities and examples
M.J. van der Laan and S. Dudoit · 2003
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Unified Methods for Censored Longitudinal Data and Causality
M.J. van der Laan and J.M. Robins · 2003
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Causal effect models for intention to treat and realistic individualized treatment rules
M.J. van der Laan · 2006
Cited alongside, same era.
Targeted maximum likelihood learning
M.J. van der Laan and Daniel B. Rubin · 2006
Cited alongside, same era.
The cross-validated adaptive epsilon-net estimator
M.J. van der Laan, S. Dudoit, and A.W. van der Vaart · 2006
Cited alongside, same era.
Oracle inequalities for multi-fold cross-validation
A.W. van der Vaart, S. Dudoit, and M.J. van der Laan · 2006
Cited alongside, same era.
Large sample sieve estimation of semiparametric models
X. Shen · 2007
Cited alongside, same era.
Super learner
M.J. van der Laan, E.C. Polley, and A.E. Hubbard · 2007
Cited alongside, same era.
Super learner based conditional density estimation with application to marginal structural models
Ivan Diaz Munoz and Mark J van der Laan · 2011
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Super Learner
E.C. Polley, S. Rose, and M.J. van der Laan · 2011
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Targeted Learning: Causal Inference for Observational and Experimental Data
M.J. van der Laan and S. Rose · 2011
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The asymptotic variance of semiparametric estimators
W. Newey · 2014
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One-step targeted minimum loss-based estimation based on universal least favorable one-dimensional submodels
M.J. van der Laan and S. Gruber · 2015
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The highly adaptive lasso estimator
D. Benkeser and M.J. van der Laan · 2016
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Estimation based on case-control designs with known prevalance probability
M.J. van der Laan · 2008
Cited alongside, same era.
Technical report, U.C. Berkeley Division of Biostatistics, https://arxiv.org/abs/1709.06256
M.J. van der Laan and A. Bibaut
Cited in the paper.
A generally efficient targeted minimum loss-based estimator
M.J. van der Laan · 2017
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