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Journal Articles
- 2023
[j9]David McCoy
, Alan E. Hubbard, Mark J. van der Laan:
CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R. J. Open Source Softw. 8(82): 4181 (2023)- [j8]David McCoy, Alejandro Schuler, Alan E. Hubbard, Mark J. van der Laan:
SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R. J. Open Source Softw. 8(91): 5422 (2023) - 2022
- [j7]Ettayapuram Ramaprasad Azhagiya Singam, Martyn T. Smith, David McCoy, Alan E. Hubbard, Michele A. La Merrill, Kathleen A. Durkin:
Predicting the binding of small molecules to nuclear receptors using machine learning. Briefings Bioinform. 23(3) (2022) - [j6]Jean Feng, Rachael V. Phillips, Ivana Malenica, Andrew Bishara, Alan E. Hubbard, Leo A. Celi, Romain Pirracchio:
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digit. Medicine 5 (2022) - 2019
- [j5]Yue You, Svetlana V. Doubova, Diana Pinto-Masis, Ricardo Pérez-Cuevas, Víctor Hugo Borja-Aburto, Alan E. Hubbard:
Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico. BMC Medical Informatics Decis. Mak. 19(1): 221:1-221:15 (2019) - 2018
- [j4]Weixin Cai, Alan E. Hubbard, Nima S. Hejazi:
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R. J. Open Source Softw. 3(30): 161 (2018) - 2017
- [j3]Nima S. Hejazi, Weixin Cai, Alan E. Hubbard:
biotmle: Targeted Learning for Biomarker Discovery. J. Open Source Softw. 2(15): 295 (2017) - 2016
- [j2]Lauren Eyler, Alan E. Hubbard, Catherine Juillard:
Assessment of economic status in trauma registries: A new algorithm for generating population-specific clustering-based models of economic status for time-constrained low-resource settings. Int. J. Medical Informatics 94: 49-58 (2016) - 2015
- [j1]Sujit D. Rathod, Tan Li, Jeffrey D. Klausner, Alan E. Hubbard, Arthur L. Reingold, Purnima Madhivanan:
Logic regression-derived algorithms for syndromic management of vaginal infections. BMC Medical Informatics Decis. Mak. 15: 106 (2015)
Conference and Workshop Papers
- 2015
- [c1]Daniel N. Hill, Robert Moakler, Alan E. Hubbard, Vadim Tsemekhman, Foster J. Provost, Kiril Tsemekhman:
Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising. KDD 2015: 1839-1847
Parts in Books or Collections
- 2016
- [p1]Alan E. Hubbard, Mark J. van der Laan:
Mining with Inference: Data-Adaptive Target Parameters. Handbook of Big Data 2016: 439-452
Informal and Other Publications
- 2021
- [i2]Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan:
Personalized Online Machine Learning. CoRR abs/2109.10452 (2021) - 2018
- [i1]Nima S. Hejazi, Rachael V. Phillips, Alan E. Hubbard, Mark J. van der Laan:
methyvim: Targeted, robust, and model-free differential methylation analysis in R. F1000Research 7: 1424 (2018)
Coauthor Index
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