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D References

Barrett, Malcolm. 2018. Ggdag: Analyze and Create Elegant Directed Acyclic Graphs. https://CRAN.R-project.org/package=ggdag.

Benkeser, D., and A. Chambaz. 2020a. “A Ride in Targeted Learning Territory.” Journal de La Société Française de Statistique, 1–88.

———. 2020b. “Une Brève Introduction à l’apprentissage Ciblé.” Causalité Et Statistique (Edited by F. Bertrand, G. Saporta, and C. Thomas-Agnan), 69–119.

Kuhn, Max. 2020. Caret: Classification and Regression Training. https://CRAN.R-project.org/package=caret.

Laan, Mark J. van der, Eric C. Polley, and Alan E. Hubbard. 2007. “Super Learner.” Stat. Appl. Genet. Mol. Biol. 6: Art. 25, 23. https://doi.org/10.2202/1544-6115.1309.

Laan, Mark J. van der, and Sherri Rose. 2011. Targeted Learning. Springer Series in Statistics. Springer, New York. https://doi.org/10.1007/978-1-4419-9782-1.

———. 2018. Targeted Learning in Data Science. Springer Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-65304-4.

Laan, Mark J. van der, and Daniel Rubin. 2006. “Targeted Maximum Likelihood Learning.” Int. J. Biostat. 2: Art. 11, 40. https://doi.org/10.2202/1557-4679.1043.

Le Cam, Lucien M. 1969. Théorie Asymptotique de La décision Statistique. Séminaire de Mathématiques Supérieures, No. 33 (été, 1968). Les Presses de l’Université de Montréal, Montreal, Que.

Pfanzagl, Johann. 1982. Contributions to a General Asymptotic Statistical Theory. Vol. 13. Lecture Notes in Statistics. Springer-Verlag, New York-Berlin.

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Vaart, A. W. van der. 1998. Asymptotic Statistics. Vol. 3. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge.

Wickham, Hadley, and Garrett Grolemund. 2016. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media, Inc.