Amelia J. Averitt

According to our database, Amelia J. Averitt authored at least 14 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Representational Clustering for Endotype Discovery.

Amelia J. Averitt, Justin Mower, Nilanjana Banerjee

Proceedings of the AMIA 2022, 2022

2021

A conceptual framework for external validity.

Amelia J. Averitt, Patrick B. Ryan, Chunhua Weng, Adler J. Perotte

J. Biomed. Informatics, 2021

A Monte Carlo Estimation of the Narrow-Sense Heritability of COVID-19 Infection and Severity from AncestryDNA Survey Data.

Amelia J. Averitt, Deepika Sharma, Michael Cantor

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

A Machine Learning Approach to Identify EHR-based Cohorts of Pain Sensitivity for Genetic Analysis.

Amelia J. Averitt, Nilanjana Banerjee, Michael Cantor

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Machine Learning Methods for Causal Inference with Observational Biomedical Data.

Amelia J. Averitt

PhD thesis, 2020

Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations.

Amelia J. Averitt, Chunhua Weng, Patrick B. Ryan, Adler J. Perotte

npj Digit. Medicine, 2020

The Counterfactual χ-GAN: Finding comparable cohorts in observational health data.

Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte

J. Biomed. Informatics, 2020

The Counterfactual χ-GAN.

Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte

CoRR, 2020

The CLinically Explainable Actionable Risk (CLEAR) Model.

Ruijun Chen, Amelia J. Averitt, Oliver Bear Don't Walk, Shreyas Bhave, Lisa Grossman Liu, Elliot G. Mitchell, Victor Alfonso Rodriguez, Phyllis Thangaraj, Tony Y. Sun

Proceedings of the AMIA 2020, 2020

Adversarially-Learned Balancing Weights for Causal Inference.

Amelia J. Averitt, Natnicha Vanitchanant, Rajesh Ranganath, Adler J. Perotte

Proceedings of the AMIA 2020, 2020

2019

Characterizing the Urban Opioid Epidemic Using EHR Data.

Amelia J. Averitt, Benjamin H. Slovis, Abdul A. Tariq, David K. Vawdrey, Adler J. Perotte

Proceedings of the AMIA 2019, 2019

2018

Noisy-Or Risk Allocation Model for Causal Inference.

Amelia J. Averitt, Adler J. Perotte

Proceedings of the AMIA 2018, 2018

2017

Clinical Trial Eligibility Criteria Fail to Meet Burden of Generalizability.

Amelia J. Averitt, Chunhua Weng, Adler J. Perotte

Proceedings of the AMIA 2017, 2017

2016

Standardization of FDA Adverse Event Reporting System to the OHDSI Common Data Model.

Amelia J. Averitt, Adler J. Perotte

Proceedings of the AMIA 2016, 2016