Alan E. Hubbard

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 12

Top Topics

Maximum Likelihood

Binding Peptides

Machine Learning

Top Venues

J. Open Source Softw.

BMC Medical Informatics Decis. Mak.

Briefings Bioinform.

Publications

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) (2023)
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) (2023)
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)
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)
Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan
Personalized Online Machine Learning. CoRR (2021)
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) (2019)
Weixin Cai, Alan E. Hubbard, Nima S. Hejazi
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R. J. Open Source Softw. 3 (30) (2018)
Nima S. Hejazi, Rachael V. Phillips, Alan E. Hubbard, Mark J. van der Laan
: Targeted, robust, and model-free differential methylation analysis in R. F1000Research 7 (2018)
Nima S. Hejazi, Weixin Cai, Alan E. Hubbard
biotmle: Targeted Learning for Biomarker Discovery. J. Open Source Softw. 2 (15) (2017)
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 (2016)
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)
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 (2015)