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Biometrics|July 28, 2019
Robust inference on the average treatment effect using the outcome highly adaptive lassoCheng Ju, David Benkeser, Mark J van der LaanJournal of the American Statistical Association|March 15, 2021
Improved small-sample estimation of nonlinear cross-validated prediction metricsDavid Benkeser, Maya Petersen, Mark J van der LaanThe International Journal of Biostatistics|July 19, 2022
Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lassoMark J van der Laan, David Benkeser, Weixin CaiStatistical Methods in Medical Research|July 12, 2018
On adaptive propensity score truncation in causal inferenceCheng Ju, Joshua Schwab, Mark J van der LaanThe International Journal of Biostatistics|August 14, 2020
A machine learning-based approach for estimating and testing associations with multivariate outcomesDavid Benkeser, Andrew Mertens, John M Colford, et al.The International Journal of Biostatistics|July 7, 2011
Targeted maximum likelihood based causal inference: Part IIMark J van der LaanJournal of Causal Inference|July 17, 2015
Causal Inference for a Population of Causally Connected UnitsMark J van der LaanThe International Journal of Biostatistics|February 12, 2014
Targeted estimation of nuisance parameters to obtain valid statistical inferenceMark J van der LaanThe International Journal of Biostatistics|April 3, 2012
Estimation based on case-control designs with known prevalence probabilityMark J van der LaanThe International Journal of Biostatistics|October 5, 2011
Targeted maximum likelihood based causal inference: Part IMark J van der LaanPageof 52