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Journal Articles
- 2024
[j6]Sohail Nizam, David C. Benkeser:
Highly adaptive regression trees. Evol. Intell. 17(1): 535-547 (2024)- 2022
- [j5]Nima S. Hejazi
, Mark J. van der Laan, David C. Benkeser:
'haldensify': Highly adaptive lasso conditional density estimation in 'R'. J. Open Source Softw. 7(78): 4522 (2022) - [j4]Mary Beth Nebel, Daniel E. Lidstone, Liwei Wang, David C. Benkeser, Stewart H. Mostofsky, Benjamin B. Risk:
Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder? NeuroImage 257: 119296 (2022) - 2021
- [j3]Brian D. Williamson, Craig A. Magaret, Peter B. Gilbert, Sohail Nizam, Courtney Simmons, David C. Benkeser:
Super LeArner Prediction of NAb Panels (SLAPNAP): a containerized tool for predicting combination monoclonal broadly neutralizing antibody sensitivity. Bioinform. 37(22): 4187-4192 (2021) - 2020
- [j2]Nima S. Hejazi, David C. Benkeser:
txshift: Efficient estimation of the causal effects of stochastic interventions in R. J. Open Source Softw. 5(54): 2447 (2020) - 2019
- [j1]Craig A. Magaret, David C. Benkeser, Brian D. Williamson, Bhavesh Borate, Lindsay N. Carpp, Ivelin S. Georgiev, Ian Setliff, Adam S. Dingens, Noah Simon, Marco Carone, Christopher Simpkins, David C. Montefiori, Galit Alter, Wen-Han Yu, Michal Juraska, Paul Thatcher Edlefsen, Shelly Karuna, Nyaradzo M. Mgodi, Srilatha Edugupanti, Peter B. Gilbert:
Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features. PLoS Comput. Biol. 15(4) (2019)
Conference and Workshop Papers
- 2016
- [c1]David C. Benkeser, Mark J. van der Laan:
The Highly Adaptive Lasso Estimator. DSAA 2016: 689-696
Informal and Other Publications
- 2024
- [i3]Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser:
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning. CoRR abs/2404.09847 (2024) - [i2]Razieh Nabi, David C. Benkeser:
Fair Risk Minimization under Causal Path-Specific Effect Constraints. CoRR abs/2408.01630 (2024) - 2022
- [i1]Ziyue Wu, David C. Benkeser:
A Huber loss-based super learner with applications to healthcare expenditures. CoRR abs/2205.06870 (2022)
Coauthor Index
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