Alan E. Hubbard

Orcid: 0000-0002-3769-0127

According to our database1, Alan E. Hubbard authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R.
J. Open Source Softw., November, 2023

CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R.
J. Open Source Softw., February, 2023

2022
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare.
npj Digit. Medicine, 2022

Predicting the binding of small molecules to nuclear receptors using machine learning.
Briefings Bioinform., 2022

2021
Personalized Online Machine Learning.
CoRR, 2021

2019
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., 2019

2018
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R.
J. Open Source Softw., 2018

<i>methyvim</i>: Targeted, robust, and model-free differential methylation analysis in R.
F1000Research, 2018

2017
biotmle: Targeted Learning for Biomarker Discovery.
J. Open Source Softw., 2017

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.
Int. J. Medical Informatics, 2016

Mining with Inference: Data-Adaptive Target Parameters.
Proceedings of the Handbook of Big Data., 2016

2015
Logic regression-derived algorithms for syndromic management of vaginal infections.
BMC Medical Informatics Decis. Mak., 2015

Measuring Causal Impact of Online Actions via Natural Experiments: Application to Display Advertising.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015


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