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@book{davison1997bootstrap,
title={Bootstrap Methods and Their Application},
author={Davison, Anthony Christopher and Hinkley, David Victor},
year={1997},
publisher={Cambridge University Press}
}
@article{holland1986statistics,
title={Statistics and causal inference},
author={Holland, Paul W},
journal={Journal of the American Statistical Association},
volume={81},
number={396},
pages={945--960},
year={1986},
publisher={Taylor \& Francis}
}
@book{fisher1946statistical,
title={Statistical Methods for Research Workers},
author={Fisher, Ronald Aylmer},
edition={10\textsuperscript{th}},
year={1946},
publisher={Oliver and Boyd}
}
@book{hernan2022causal,
author = {Hern{\'a}n, Miguel A and Robins, James M},
publisher = {CRC Press},
title = {{Causal Inference: What If}},
year = {2022}
}
@book{xie2015,
title = {Dynamic Documents with {R} and knitr},
author = {Yihui Xie},
publisher = {Chapman and Hall/CRC},
address = {Boca Raton, Florida},
year = {2015},
edition = {2nd},
note = {ISBN 978-1498716963},
url = {http://yihui.name/knitr/},
}
@article{diaz2012population,
title={Population intervention causal effects based on stochastic
interventions},
author={D{\'\i}az, Iv{\'a}n and {van der Laan}, Mark J},
journal={Biometrics},
volume={68},
number={2},
pages={541--549},
year={2012},
publisher={Wiley Online Library}
}
@book{vdl2018targeted,
title={Targeted Learning in Data Science: Causal Inference for Complex
Longitudinal Studies},
author={{van der Laan}, Mark J and Rose, Sherri},
year={2018},
publisher={Springer Science \& Business Media}
}
@book{vdl2011targeted,
title={Targeted learning: causal inference for observational and experimental
data},
author={{van der Laan}, Mark J and Rose, Sherri},
year={2011},
publisher={Springer Science \& Business Media}
}
@article{diaz2011super,
title={Super learner based conditional density estimation with application to
marginal structural models},
author={D{\'\i}az, Iv{\'a}n and {van der Laan}, Mark J},
journal={The International Journal of Biostatistics},
volume={7},
number={1},
pages={1--20},
year={2011},
publisher={De Gruyter}
}
@incollection{diaz2018stochastic,
title={Stochastic Treatment Regimes},
author={D{\'\i}az, Iv{\'a}n and {van der Laan}, Mark J},
booktitle={Targeted Learning in Data Science: Causal Inference for Complex
Longitudinal Studies},
pages={167--180},
year={2018},
publisher={Springer Science \& Business Media}
}
@article{vdl2006targeted,
title={Targeted maximum likelihood learning},
author={{van der Laan}, Mark J and Rubin, Daniel},
journal={The International Journal of Biostatistics},
volume={2},
number={1},
year={2006},
publisher={De Gruyter}
}
@article{vdl2004asymptotic,
title={Asymptotic optimality of likelihood-based cross-validation},
author={{van der Laan}, Mark J and Dudoit, Sandrine and Keles, Sunduz},
journal={Statistical Applications in Genetics and Molecular Biology},
volume={3},
number={1},
pages={1--23},
year={2004},
publisher={De Gruyter}
}
@article{dudoit2005asymptotics,
title={Asymptotics of cross-validated risk estimation in estimator selection
and performance assessment},
author={Dudoit, Sandrine and {van der Laan}, Mark J},
journal={Statistical Methodology},
volume={2},
number={2},
pages={131--154},
year={2005},
publisher={Elsevier}
}
@article{vdl2007super,
title={{Super Learner}},
author={{van der Laan}, Mark J and Polley, Eric C and Hubbard, Alan E},
journal={Statistical Applications in Genetics and Molecular Biology},
volume={6},
number={1},
year={2007},
publisher={De Gruyter}
}
@book{pearl2009causality,
title={Causality: Models, Reasoning, and Inference},
author={Pearl, Judea},
year={2009},
publisher={Cambridge University Press}
}
@article{rosenbaum1983central,
title={The central role of the propensity score in observational studies for
causal effects},
author={Rosenbaum, Paul R and Rubin, Donald B},
journal={Biometrika},
volume={70},
number={1},
pages={41--55},
year={1983},
publisher={Biometrika Trust}
}
@article{haneuse2013estimation,
title={Estimation of the effect of interventions that modify the received
treatment},
author={Haneuse, Sebastian and Rotnitzky, Andrea},
journal={Statistics in Medicine},
volume={32},
number={30},
pages={5260--5277},
year={2013},
publisher={Wiley Online Library}
}
@article{young2014identification,
title={Identification, estimation and approximation of risk under
interventions that depend on the natural value of treatment using
observational data},
author={Young, Jessica G and Hern{\'a}n, Miguel A and Robins, James M},
journal={Epidemiologic methods},
volume={3},
number={1},
pages={1--19},
year={2014},
publisher={De Gruyter}
}
@article{rubin1978bayesian,
title={Bayesian inference for causal effects: The role of randomization},
author={Rubin, Donald B},
journal={The Annals of statistics},
pages={34--58},
year={1978},
publisher={JSTOR}
}
@article{rubin1980randomization,
title={Randomization analysis of experimental data: The Fisher randomization
test comment},
author={Rubin, Donald B},
journal={Journal of the American Statistical Association},
volume={75},
number={371},
pages={591--593},
year={1980},
publisher={JSTOR}
}
@article{kennedy2019nonparametric,
title={Nonparametric causal effects based on incremental propensity score
interventions},
author={Kennedy, Edward H},
journal={Journal of the American Statistical Association},
volume={114},
number={526},
pages={645--656},
year={2019},
publisher={Taylor \& Francis}
}
@incollection{cvtmle2010,
title={Cross-validated targeted minimum-loss-based estimation},
author={Zheng, Wenjing and {van der Laan}, Mark J},
booktitle={Targeted Learning: Causal Inference for Observational and
Experimental Data},
editor={{van der Laan}, Mark J and Rose, Sherri},
pages={459--474},
year={2011},
publisher={Springer},
doi={10.1007/978-1-4419-9782-1_27}
}
@article{luedtke2016super,
title = {Super-learning of an optimal dynamic treatment rule},
author = {Luedtke, Alex and {van der Laan}, Mark J},
journal = {International Journal of Biostatistics},
volume = {12},
number = {1},
pages = {305--332},
year = {2016}
}
@article{vanderLaanLuedtke15,
title = {Targeted learning of the mean outcome under an optimal dynamic
treatment rule},
author = {{van der Laan}, Mark J and Luedtke, Alex},
journal = {Journal of Causal Inference},
volume = {3},
number = {1},
pages = {61--95},
year = {2015}
}
@book{Sutton1998,
title={Introduction to reinforcement learning},
author={Sutton, Richard S and Barto, Andrew G and others},
volume={135},
year={1998},
publisher={MIT press Cambridge}
}
@article{murphy2003,
title={Optimal dynamic treatment regimes},
author={Murphy, Susan A},
journal={Journal of the Royal Statistical Society: Series B (Statistical
Methodology)},
volume={65},
number={2},
pages={331--355},
year={2003},
publisher={Wiley Online Library}
}
@inproceedings{robins2004,
author={Robins, James M},
title={Optimal Structural Nested Models for Optimal Sequential Decisions},
booktitle={Proceedings of the Second Seattle Symposium in Biostatistics:
Analysis of Correlated Data},
year={2004},
publisher={Springer New York},
pages={189--326},
doi={10.1007/978-1-4419-9076-1_11},
url={https://doi.org/10.1007/978-1-4419-9076-1_11}
}
@article{vdl2014entering,
title={Entering the era of data science: Targeted learning and the
integration of statistics and computational data analysis},
author={{van der Laan}, Mark J and Starmans, Richard JCM},
journal={Advances in Statistics},
volume={2014},
year={2014},
publisher={Hindawi}
}
@techreport{vdl2003unified,
title={Unified cross-validation methodology for selection among estimators
and a general cross-validated adaptive epsilon-net estimator: Finite sample
oracle inequalities and examples},
author={{van der Laan}, Mark J and Dudoit, Sandrine},
year={2003},
publisher={bepress},
institution={{Division of Biostatistics, University of California, Berkeley}}
}
@article{wolpert1992stacked,
title={Stacked generalization},
author={Wolpert, David H},
journal={Neural networks},
volume={5},
number={2},
pages={241--259},
year={1992},
publisher={Elsevier}
}
@article{naturenews_2015,
author = {{\textit{Nature} Editorial (Anonymous)}},
title={Let’s think about cognitive bias},
journal={Nature},
publisher={Springer Nature},
year={2015},
month={Oct},
volume={526},
number={7572},
doi={10.1038/526163a}
}
@article{peng2015reproducibility,
title={The reproducibility crisis in science: A statistical counterattack},
author={Peng, Roger},
journal={Significance},
volume={12},
number={3},
pages={30--32},
year={2015},
publisher={Wiley Online Library}
}
@article{munafo2017manifesto,
title={A manifesto for reproducible science},
author={Munaf{\`o}, Marcus R and Nosek, Brian A and Bishop, Dorothy VM and
Button, Katherine S and Chambers, Christopher D and Du Sert, Nathalie
Percie and Simonsohn, Uri and Wagenmakers, Eric-Jan and Ware, Jennifer J
and Ioannidis, John PA},
journal={Nature Human Behaviour},
volume={1},
number={1},
pages={0021},
year={2017},
publisher={Nature Publishing Group}
}
@article{naturenews2_2015,
author = {{\textit{Nature} Editorial (Anonymous)}},
title={How scientists fool themselves --- and how they can stop},
journal={Nature},
publisher={Springer Nature},
year={2015},
month={Oct},
volume={526},
number={7572}
}
@article{forstmeier2017detecting,
title={Detecting and avoiding likely false-positive findings--a practical
guide},
author={Forstmeier, Wolfgang and Wagenmakers, Eric-Jan and Parker, Timothy
H},
journal={Biological Reviews},
volume={92},
number={4},
pages={1941--1968},
year={2017},
publisher={Wiley Online Library}
}
@article{nosek2018preregistration,
title={The preregistration revolution},
author={Nosek, Brian A and Ebersole, Charles R and DeHaven, Alexander C and
Mellor, David T},
journal={Proceedings of the National Academy of Sciences},
volume={115},
number={11},
pages={2600--2606},
year={2018},
publisher={National Academy of Sciences}
}
@article{baker2016there,
title={Is there a reproducibility crisis? A Nature survey lifts the lid on
how researchers view the crisis rocking science and what they think will
help},
author={Baker, Monya},
journal={Nature},
volume={533},
number={7604},
pages={452--455},
year={2016},
publisher={Nature Publishing Group}
}
@article{szucs2017null,
title={When null hypothesis significance testing is unsuitable for research:
a reassessment},
author={Szucs, Denes and Ioannidis, John},
journal={Frontiers in Human Neuroscience},
volume={11},
pages={390},
year={2017},
publisher={Frontiers}
}
@article{pullenayegum2016knowledge,
title={Knowledge translation in biostatistics: a survey of current practices,
preferences, and barriers to the dissemination and uptake of new
statistical methods},
author={Pullenayegum, Eleanor M and Platt, Robert W and Barwick, Melanie and
Feldman, Brian M and Offringa, Martin and Thabane, Lehana},
journal={Statistics in medicine},
volume={35},
number={6},
pages={805--818},
year={2016},
publisher={Wiley Online Library}
}
@article{stromberg2004write,
title={Why write statistical software? The case of robust statistical
methods},
author={Stromberg, Arnold and others},
journal={Journal of Statistical Software},
volume={10},
number={5},
pages={1--8},
year={2004}
}
@incollection{buckheit1995wavelab,
title={Wavelab and reproducible research},
author={Buckheit, Jonathan B and Donoho, David L},
booktitle={Wavelets and statistics},
pages={55--81},
year={1995},
publisher={Springer}
}
@book{kitzes2017practice,
title={The Practice of Reproducible Research: Case Studies and Lessons from
the Data-intensive Sciences},
author={Kitzes, Justin and Turek, Daniel and Deniz, Fatma},
year={2017},
publisher={University of California Press}
}
@article{luby2018effect,
title={Effect of water quality, sanitation, hand washing, and nutritional
interventions on child development in rural Bangladesh (WASH Benefits
Bangladesh): a cluster-randomised controlled trial},
author={Tofail, Fahmida and Fernald, Lia CH and Das, Kishor K and Rahman,
Mahbubur and Ahmed, Tahmeed and Jannat, Kaniz K and Unicomb, Leanne and
Arnold, Benjamin F and Ashraf, Sania and Winch, Peter J and others},
journal={The Lancet Child \& Adolescent Health},
volume={2},
number={4},
pages={255--268},
year={2018},
publisher={Elsevier}
}
@article{neyman1990,
title={On the application of probability to agricultural experiments. Essay
on principles (DM Dabrowska \& TP Speed, Trans.)},
author={Neyman, Jerzy},
journal={Statistical Science},
volume={5},
pages={465--480},
year={1990},
url = {http://www.jstor.org/stable/2245382}
}
@article{robins1986,
title = "A new approach to causal inference in mortality studies with a
sustained exposure period—application to control of the healthy worker
survivor effect",
journal = "Mathematical Modelling",
volume = "7",
number = "9",
pages = "1393 - 1512",
year = "1986",
issn = "0270-0255",
doi = "https://doi.org/10.1016/0270-0255(86)90088-6",
author = "James Robins"
}
@book{pearl2009,
author = {Pearl, Judea},
title = {Causality: Models, Reasoning and Inference},
year = {2009},
isbn = {052189560X, 9780521895606},
edition = {2nd},
publisher = {Cambridge University Press},
address = {New York, NY, USA},
}
@book{moodie2013,
Author = {Chakraborty, Bibhas and Moodie, Erica EM},
Title = {Statistical Methods for Dynamic Treatment Regimes: Reinforcement
Learning, Causal Inference, and Personalized Medicine (Statistics for
Biology and Health)},
Publisher = {Springer},
Year = {2013},
ISBN = {1461474272},
}
@article{laber2012,
author = {Zhang, Baqun and A Tsiatis, Anastasios and Davidian, Marie and
Zhang, Min and Laber, Eric},
title = {Estimating optimal treatment regimes from a classification
perspective},
journal = {Stat},
volume = {5},
number = {1},
pages = {278-278},
doi = {10.1002/sta4.124},
year = {2016}
}
@article{kosorok2012,
author = {Yingqi Zhao and Donglin Zeng and A John Rush and Michael R
Kosorok},
title = {Estimating Individualized Treatment Rules Using Outcome Weighted
Learning},
journal = {Journal of the American Statistical Association},
volume = {107},
number = {499},
pages = {1106-1118},
year = {2012},
publisher = {Taylor \& Francis},
doi = {10.1080/01621459.2012.695674},
note ={PMID: 23630406}
}
@article{robins2014,
author = "Robins, James and Rotnitzky, Andrea",
doi = "10.1214/14-EJS908",
fjournal = "Electronic Journal of Statistics",
journal = "Electron. J. Statist.",
number = "1",
pages = "1273--1289",
publisher = "The Institute of Mathematical Statistics and the Bernoulli
Society",
title = "Discussion of “Dynamic treatment regimes: Technical challenges and
applications”",
url = "https://doi.org/10.1214/14-EJS908",
volume = "8",
year = "2014"
}
@article{breiman1996stacked,
title={Stacked regressions},
author={Breiman, Leo},
journal={Machine learning},
volume={24},
number={1},
pages={49--64},
year={1996},
publisher={Springer}
}
@article{van2006oracle,
title={Oracle inequalities for multi-fold cross validation},
author={{van der Vaart}, Aad W and Dudoit, Sandrine and {van der Laan}, Mark
J},
journal={Statistics \& Decisions},
volume={24},
number={3},
pages={351--371},
year={2006},
publisher={Oldenbourg Wissenschaftsverlag}
}
@article{stark2018cargo,
title={Cargo-cult statistics and scientific crisis},
author={Stark, Philip B and Saltelli, Andrea},
journal={Significance},
volume={15},
number={4},
pages={40--43},
year={2018},
publisher={Wiley Online Library}
}
@manual{hejazi2020haldensify,
author = {Hejazi, Nima S and Benkeser, David C and {van der Laan}, Mark J},
title = {{haldensify}: Highly adaptive lasso conditional density estimation},
year = {2022},
howpublished = {\url{https://github.com/nhejazi/haldensify}},
note = {{R} package version 0.2.3},
url = {https://doi.org/10.5281/zenodo.3698329},
doi = {10.5281/zenodo.3698329}
}
@manual{coyle2020hal9001,
author = {Coyle, Jeremy R and Hejazi, Nima S and Phillips, Rachael V and
{van der Laan}, Lars WP and {van der Laan}, Mark J},
title = {{hal9001}: The scalable highly adaptive lasso},
year = {2022},
url = {https://doi.org/10.5281/zenodo.3558313},
doi = {10.5281/zenodo.3558313},
note = {{R} package version 0.4.3}
}
@article{hejazi2020hal9001,
author = {Hejazi, Nima S and Coyle, Jeremy R and {van der Laan}, Mark J},
title = {{hal9001}: Scalable highly adaptive lasso regression in {R}},
year = {2020},
url = {https://doi.org/10.21105/joss.02526},
doi = {10.21105/joss.02526},
journal = {Journal of Open Source Software},
publisher = {The Open Journal}
}
@article{hejazi2020efficient,
doi = {10.1111/biom.13375},
url = {https://arxiv.org/abs/2003.13771},
year = {2020},
publisher = {Wiley Online Library},
journal = {Biometrics},
volume = {},
number = {},
pages = {},
author = {Hejazi, Nima S and {van der Laan}, Mark J and Janes, Holly E and
Gilbert, Peter B and Benkeser, David C},
title = {Efficient nonparametric inference on the effects of stochastic
interventions under two-phase sampling, with applications to vaccine
efficacy trials}
}
@inproceedings{benkeser2016hal,
doi = {10.1109/dsaa.2016.93},
url = {https://doi.org/10.1109/dsaa.2016.93},
year = {2016},
publisher = {{IEEE}},
author = {Benkeser, David and {van der Laan}, Mark J},
title = {The Highly Adaptive Lasso Estimator},
booktitle = {2016 {IEEE} International Conference on Data Science and
Advanced Analytics ({DSAA})}
}
@techreport{polley2010super,
title={Super learner in prediction},
author={Polley, Eric C and {van der Laan}, Mark J},
year={2010},
publisher={bepress},
institution={{Division of Biostatistics, University of California, Berkeley}}
}
@book{wickham2014advanced,
title={Advanced r},
author={Wickham, Hadley},
year={2014},
publisher={Chapman and Hall/CRC}
}
@book{kalbfleisch2011statistical,
title={The statistical analysis of failure time data},
author={Kalbfleisch, John D and Prentice, Ross L},
volume={360},
year={2011},
publisher={John Wiley \& Sons}
}
@article{vaart2006oracle,
title={Oracle inequalities for multi-fold cross validation},
author={{van der Vaart}, Aad W and Dudoit, Sandrine and {van der Laan}, Mark
J},
journal={Statistics \& Decisions},
volume={24},
number={3},
pages={351--371},
year={2006},
publisher={Oldenbourg Wissenschaftsverlag}
}
@article{textor2011dagitty,
title={{DAGitty}: a graphical tool for analyzing causal diagrams},
author={Textor, Johannes and Hardt, Juliane and Kn{\"u}ppel, Sven},
journal={Epidemiology},
volume={22},
number={5},
pages={745},
year={2011},
publisher={LWW}
}
@article{robins1992identifiability,
title={Identifiability and exchangeability for direct and indirect effects},
author={Robins, James M and Greenland, Sander},
journal={Epidemiology},
pages={143--155},
year={1992},
publisher={JSTOR}
}
@article{pearl2001direct,
title={Direct and indirect effects},
author={Pearl, Judea},
journal={arXiv preprint arXiv:1301.2300},
year={2001}
}
@article{tchetgen2012semiparametric,
author = {{Tchetgen Tchetgen}, Eric J and Shpitser, Ilya},
doi = {10.1214/12-AOS990},
journal = {Annals of Statistics},
language = {eng},
month = {jun},
number = {3},
pages = {1816--1845},
title = {Semiparametric Theory for Causal Mediation Analysis: efficiency
bounds, multiple robustness, and sensitivity analysis},
volume = {40},
year = {2012}
}
@article{zheng2012targeted,
author = {Zheng, Wenjing and {van der Laan}, Mark J},
doi = {10.2202/1557-4679.1361},
issn = {15574679},
journal = {International Journal of Biostatistics},
number = {1},
title = {Targeted maximum likelihood estimation of natural direct effects},
volume = {8},
year = {2012}
}
@inproceedings{avin2005identifiability,
title={Identifiability of path-specific effects},
author={Avin, Chen and Shpitser, Ilya and Pearl, Judea},
booktitle={IJCAI International Joint Conference on Artificial Intelligence},
pages={357--363},
year={2005}
}
@article{diaz2020nonparametric,
title={Non-parametric efficient causal mediation with intermediate
confounders},
author={D{\'\i}az, Iv{\'a}n and Hejazi, Nima S and Rudolph, Kara E and {van
der Laan}, Mark J},
year={2020},
url = {https://arxiv.org/abs/1912.09936},
doi = {10.1093/biomet/asaa085},
journal={Biometrika},
volume={},
number={},
pages={},
publisher={Oxford University Press}
}
@article{hejazi2021nonparametric,
title = {Nonparametric causal mediation analysis for stochastic
interventional (in)direct effects},
author = {Hejazi, Nima S and Rudolph, Kara E and {van der Laan}, Mark J and
D{\'\i}az, Iv{\'a}n},
year = {2022},
journal = {Biostatistics},
volume = {(in press)},
number = {},
pages = {},
publisher = {Oxford University Press},
url = {https://arxiv.org/abs/2009.06203},
doi = {10.1093/biostatistics/kxac002}
}
@article{tchetgen2013inverse,
title={Inverse odds ratio-weighted estimation for causal mediation analysis},
author={{Tchetgen Tchetgen}, Eric J},
journal={Statistics in Medicine},
volume={32},
number={26},
pages={4567--4580},
year={2013},
publisher={Wiley Online Library}
}
@article{coyle2018origami,
author = {Coyle, Jeremy R and Hejazi, Nima S},
title = {origami: A Generalized Framework for Cross-Validation in R},
journal = {Journal of Open Source Software},
volume = {3},
number = {21},
month = {January},
year = {2018},
publisher = {The Open Journal},
doi = {10.21105/joss.00512},
url = {https://doi.org/10.21105/joss.00512}
}
@article{coyle2021targeted,
doi = {},
url = {https://arxiv.org/abs/2006.07333},
year = {2021},
publisher = {},
journal = {arXiv},
volume = {},
number = {},
pages = {},
author = {Coyle, Jeremy R and Hejazi, Nima S and Malenica, Ivana and
Phillips, Rachael V and Arnold, Benjamin F and Mertens, Andrew and
Benjamin-Chung, Jade and Cai, Weixin and Dayal, Sonali and {Colford Jr.},
John M and Hubbard, Alan E and {van der Laan}, Mark J},
title = {{Targeting Learning}: Robust statistics for reproducible research}
}
@article{bengtsson2021unifying,
author = {Bengtsson, Henrik},
title = {A Unifying Framework for Parallel and Distributed Processing in R
using Futures},
year = {2021},
journal = {{The R Journal}},
doi = {10.32614/RJ-2021-048},
url = {https://journal.r-project.org/archive/2021/RJ-2021-048/index.html}
}
@article{breiman2001random,
title={Random forests},
author={Breiman, Leo},
journal={Machine Learning},
volume={45},
number={1},
pages={5--32},
year={2001},
publisher={Springer}
}
@article{petersen2006estimation,
title={Estimation of direct causal effects},
author={Petersen, Maya L and Sinisi, Sandra E and {van der Laan}, Mark J},
journal={Epidemiology},
pages={276--284},
year={2006},
publisher={JSTOR}
}
@article{imai2010identification,
title={Identification, inference and sensitivity analysis for causal
mediation effects},
author={Imai, Kosuke and Keele, Luke and Yamamoto, Teppei},
journal={Statistical science},
pages={51--71},
year={2010},
publisher={JSTOR}
}
@article{robins2010alternative,
title={Alternative graphical causal models and the identification of direct
effects},
author={Robins, James M and Richardson, Thomas S},
journal={Causality and psychopathology: Finding the determinants of disorders
and their cures},
pages={103--158},
year={2010},
publisher={Oxford: Oxford University Press}
}
@article{diaz2020causal,
title={Causal mediation analysis for stochastic interventions},
author={D{\'\i}az, Iv{\'a}n and Hejazi, Nima S},
year={2020},
url = {https://doi.org/10.1111/rssb.12362},
doi = {10.1111/rssb.12362},
journal={Journal of the Royal Statistical Society: Series B (Statistical
Methodology)},
volume = {82},
number = {3},
pages = {661-683},
publisher={Wiley Online Library}
}
@incollection{zheng2011cross,
title={Cross-validated targeted minimum-loss-based estimation},
author={Zheng, Wenjing and {van der Laan}, Mark J},
booktitle={Targeted Learning},
pages={459--474},
year={2011},
publisher={Springer}
}
@article{chernozhukov2018double,
author = {Chernozhukov, Victor and Chetverikov, Denis and Demirer, Mert and
Duflo, Esther and Hansen, Christian and Newey, Whitney and Robins, James},
title = {Double/debiased machine learning for treatment and structural
parameters},
journal = {The Econometrics Journal},
volume = {21},
number = {1},
year = {2018},
month = {01},
doi = {10.1111/ectj.12097},
url = {https://doi.org/10.1111/ectj.12097}
}
@misc{R,
address = {Vienna, Austria},
author = {{R Core Team}},
organization = {R Foundation for Statistical Computing},
title = {\text{R}: A Language and Environment for Statistical Computing},
url = {https://www.R-project.org/},
year = {2021}
}
@article{neyman1938contribution,
title={Contribution to the theory of sampling human populations},
author={Neyman, Jerzy},
journal={Journal of the American Statistical Association},
volume={33},
number={201},
pages={101--116},
year={1938},
publisher={Taylor \& Francis}
}
@article{rubin2005causal,
title={Causal inference using potential outcomes: Design, modeling,
decisions},
author={Rubin, Donald B},
journal={Journal of the American Statistical Association},
volume={100},
number={469},
pages={322--331},
year={2005},
publisher={Taylor \& Francis}
}
@book{imbens2015causal,
author = {Imbens, Guido W and Rubin, Donald B},
publisher = {Cambridge University Press},
title = {Causal inference in statistics, Social, and Biomedical Sciences},
year = {2015}
}
@article{pearl1995causal,
title={Causal diagrams for empirical research},
author={Pearl, Judea},
journal={Biometrika},
volume={82},
number={4},
pages={669--688},
year={1995},
publisher={Oxford University Press}
}
@article{tukey1962future,
title={The future of data analysis},
author={Tukey, John W},
journal={The Annals of Mathematical Statistics},
volume={33},
number={1},
pages={1--67},
year={1962},
publisher={JSTOR}
}
@article{donoho2017fifty,
title={50 years of data science},
author={Donoho, David},
journal={Journal of Computational and Graphical Statistics},
volume={26},
number={4},
pages={745--766},
year={2017},
publisher={Taylor \& Francis}
}
@article{vdl2010learning,
title={Learning from data: Semiparametric models versus faith-based
inference},
author={{van der Laan}, Mark J and Hubbard, Alan E and Jewell, Nicholas P},
journal={Epidemiology},
volume={21},
number={4},
pages={479--481},
year={2010},
publisher={LWW}
}
@article{leblanc1996combining,
title={Combining estimates in regression and classification},
author={LeBlanc, Michael and Tibshirani, Robert},
journal={Journal of the American Statistical Association},
volume={91},
number={436},
pages={1641--1650},
year={1996},
publisher={Taylor \& Francis}
}
@article{bembom2007realistic,
author={Bembom, Oliver and {van der Laan}, Mark J},
title={A practical illustration of the importance of realistic
individualized treatment rules in causal inference},
journal="Electronic Journal of Statistics",
year="2007",
volume="1",
pages="574--596"