Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising. - Daniel N. Hill; Robert Moakler; Alan E. Hubbard; Vadim Tsemekhman; Foster J. Provost; Kiril Tsemekhman (KDD, 2015)

Logic regression-derived algorithms for syndromic management of vaginal infections. - Sujit D. Rathod; Tan Li; Jeffrey D. Klausner; Alan E. Hubbard; Arthur L. Reingold; Purnima Madhivanan (BMC Medical Informatics Decis. Mak., 2015)

Mining with Inference: Data-Adaptive Target Parameters. - Alan E. Hubbard; Mark J. van der Laan (Handbook of Big Data, 2016)

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. - Lauren Eyler; Alan E. Hubbard; Catherine Juillard (Int. J. Medical Informatics, 2016)

biotmle: Targeted Learning for Biomarker Discovery. - Nima S. Hejazi; Weixin Cai; Alan E. Hubbard (J. Open Source Softw., 2017)

methyvim: Targeted, robust, and model-free differential methylation analysis in R. - Nima S. Hejazi; Rachael V. Phillips; Alan E. Hubbard; Mark J. van der Laan (F1000Research, 2018)

adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R. - Weixin Cai; Alan E. Hubbard; Nima S. Hejazi (J. Open Source Softw., 2018)

Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico. - Yue You; Svetlana V. Doubova; Diana Pinto-Masis; Ricardo Pérez-Cuevas; Víctor Hugo Borja-Aburto; Alan E. Hubbard (BMC Medical Informatics Decis. Mak., 2019)

Personalized Online Machine Learning. - Ivana Malenica; Rachael V. Phillips; Romain Pirracchio; Antoine Chambaz; Alan E. Hubbard; Mark J. van der Laan (CoRR, 2021)

Predicting the binding of small molecules to nuclear receptors using machine learning. - Ettayapuram Ramaprasad Azhagiya Singam; Martyn T. Smith; David McCoy; Alan E. Hubbard; Michele A. La Merrill; Kathleen A. Durkin (Briefings Bioinform., 2022)

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. - Jean Feng; Rachael V. Phillips; Ivana Malenica; Andrew Bishara; Alan E. Hubbard; Leo A. Celi; Romain Pirracchio (npj Digit. Medicine, 2022)

CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R. - David McCoy; Alan E. Hubbard; Mark J. van der Laan (J. Open Source Softw., 2023)

SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R. - David McCoy; Alejandro Schuler; Alan E. Hubbard; Mark J. van der Laan (J. Open Source Softw., 2023)

Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables. - Junming Shi; Alan E. Hubbard; Nicholas Fong; Romain Pirracchio (BMC Medical Informatics Decis. Mak., 2025)