References

Baker, Monya. 2016. “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.” Nature 533 (7604). Nature Publishing Group: 452–55.

Benkeser, David, and Mark J van der Laan. 2016. “The Highly Adaptive Lasso Estimator.” In 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE. https://doi.org/10.1109/dsaa.2016.93.

Buckheit, Jonathan B, and David L Donoho. 1995. “Wavelab and Reproducible Research.” In Wavelets and Statistics, 55–81. Springer.

Coyle, Jeremy R, and Nima S Hejazi. 2018. “hal9001: The Scalable Highly Adaptive LASSO.” https://github.com/tlverse/hal9001.

Díaz, Iván, and Mark J van der Laan. 2011. “Super Learner Based Conditional Density Estimation with Application to Marginal Structural Models.” The International Journal of Biostatistics 7 (1). De Gruyter: 1–20.

———. 2012. “Population Intervention Causal Effects Based on Stochastic Interventions.” Biometrics 68 (2). Wiley Online Library: 541–49.

———. 2018. “Stochastic Treatment Regimes.” In Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies, 167–80. Springer Science & Business Media.

Haneuse, Sebastian, and Andrea Rotnitzky. 2013. “Estimation of the Effect of Interventions That Modify the Received Treatment.” Statistics in Medicine 32 (30). Wiley Online Library: 5260–77.

Hejazi, Nima S, and David C Benkeser. 2019. haldensify: Nonparametric Conditional Density Estimation with the Highly Adaptive Lasso in R. https://github.com/nhejazi/haldensify.

“How Scientists Fool Themselves – and How They Can Stop.” 2015. Nature 526 (7572). Springer Nature.

“Let’s Think About Cognitive Bias.” 2015. Nature 526 (7572). Springer Nature.

Munafò, Marcus R, Brian A Nosek, Dorothy VM Bishop, Katherine S Button, Christopher D Chambers, Nathalie Percie Du Sert, Uri Simonsohn, Eric-Jan Wagenmakers, Jennifer J Ware, and John PA Ioannidis. 2017. “A Manifesto for Reproducible Science.” Nature Human Behaviour 1 (1). Nature Publishing Group: 0021.

Nosek, Brian A, Charles R Ebersole, Alexander C DeHaven, and David T Mellor. 2018. “The Preregistration Revolution.” Proceedings of the National Academy of Sciences 115 (11). National Acad Sciences: 2600–2606.

Pearl, Judea. 2009. Causality: Models, Reasoning, and Inference. Cambridge University Press.

Peng, Roger. 2015. “The Reproducibility Crisis in Science: A Statistical Counterattack.” Significance 12 (3). Wiley Online Library: 30–32.

Polley, Eric C, and Mark J Van Der Laan. 2010. “Super Learner in Prediction.” bepress.

Pospisil, Taylor, and Ann B Lee. 2018. “RFCDE: Random Forests for Conditional Density Estimation.” arXiv Preprint arXiv:1804.05753.

Pullenayegum, Eleanor M, Robert W Platt, Melanie Barwick, Brian M Feldman, Martin Offringa, and Lehana Thabane. 2016. “Knowledge Translation in Biostatistics: A Survey of Current Practices, Preferences, and Barriers to the Dissemination and Uptake of New Statistical Methods.” Statistics in Medicine 35 (6). Wiley Online Library: 805–18.

Rubin, Donald B. 1978. “Bayesian Inference for Causal Effects: The Role of Randomization.” The Annals of Statistics. JSTOR, 34–58.

———. 1980. “Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment.” Journal of the American Statistical Association 75 (371). JSTOR: 591–93.

Stark, Philip B, and Andrea Saltelli. 2018. “Cargo-Cult Statistics and Scientific Crisis.” Significance 15 (4). Wiley Online Library: 40–43.

Stromberg, Arnold, and others. 2004. “Why Write Statistical Software? The Case of Robust Statistical Methods.”

Szucs, Denes, and John Ioannidis. 2017. “When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment.” Frontiers in Human Neuroscience 11. Frontiers: 390.

“Temporary.” n.d.

van der Laan, Mark J, and Sandrine Dudoit. 2003. “Unified Cross-Validation Methodology for Selection Among Estimators and a General Cross-Validated Adaptive Epsilon-Net Estimator: Finite Sample Oracle Inequalities and Examples.” bepress.

Van der Laan, Mark J, Eric C Polley, and Alan E Hubbard. 2007. “Super Learner.” Statistical Applications in Genetics and Molecular Biology 6 (1). De Gruyter.

van der Laan, Mark J, and Richard JCM Starmans. 2014. “Entering the Era of Data Science: Targeted Learning and the Integration of Statistics and Computational Data Analysis.” Advances in Statistics 2014. Hindawi.

Van der Vaart, Aad W, Sandrine Dudoit, and Mark J van der Laan. 2006. “Oracle Inequalities for Multi-Fold Cross Validation.” Statistics & Decisions 24 (3). Oldenbourg Wissenschaftsverlag: 351–71.

Wickham, Hadley. 2014. Advanced R. Chapman; Hall/CRC.

Young, Jessica G, Miguel A Hernán, and James M Robins. 2014. “Identification, Estimation and Approximation of Risk Under Interventions That Depend on the Natural Value of Treatment Using Observational Data.” Epidemiologic Methods 3 (1). De Gruyter: 1–19.