Erich Kummerfeld

According to our database, Erich Kummerfeld authored at least 22 papers between 2013 and 2024.

Collaborative distances:

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

2024

Power analysis for causal discovery.

Erich Kummerfeld, Leland Williams, Sisi Ma

Int. J. Data Sci. Anal., April, 2024

Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls.

Erich Kummerfeld, Jaewon Lim, Xu Shi

J. Mach. Learn. Res., 2024

Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method.

Bryan Andrews, Erich Kummerfeld

CoRR, 2024

2023

Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study.

Eric Rawls, Bryan Andrews, Kelvin Lim, Erich Kummerfeld

CoRR, 2023

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees.

Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Computational Framework for EEG Causal Oscillatory Connectivity.

Eric Rawls, Casey Gilmore, Erich Kummerfeld, Kelvin Lim, Tasha Nienow

Proceedings of the Causal Analysis Workshop Series, 2023

2022

The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks.

Eric Rawls, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand

NeuroImage, 2022

Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR.

Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton

Proceedings of the AMIA 2022, 2022

2021

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals.

Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli

CoRR, 2021

Applying Causal Discovery to Intensive Longitudinal Data.

Brittany Stevenson, Erich Kummerfeld, Jennifer Merrill

Proceedings of the Causal Analysis Workshop Series, 2021

Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion.

Erich Kummerfeld, Thomas Woolf, Will Glad, Michèle Sebag, Sisi Ma

Proceedings of the Causal Analysis Workshop Series, 2021

2019

Assessing the collective utility of multiple analyses on clinical alcohol use disorder data.

Erich Kummerfeld, Alexander Rix, Justin Anker, Matt Kushner

J. Am. Medical Informatics Assoc., 2019

Constructing Instrument Mapping Using Markov Boundary Techniques: A Case Study with Two Quality of Life Instruments.

Sisi Ma, Thomas Kirsh, Erich Kummerfeld, Melissa Fisher, Brandon Schermitzler, Sophia Vinogradov

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration.

Erich Kummerfeld, Alexander Rix

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Investigating the effect of binning on causal discovery.

Andrew Colt Deckert, Erich Kummerfeld

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science?

Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton

Proceedings of the AMIA 2019, 2019

2018

Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data.

Erich Kummerfeld, Justin Anker, Alexander Rix, Matt Kushner

Proceedings of the AMIA 2018, 2018

2016

Causal Clustering for 1-Factor Measurement Models.

Erich Kummerfeld, Joseph D. Ramsey

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Erratum to: Model change and methodological virtues in scientific inference.

Erich Kummerfeld, David Danks

Synth., 2014

Model change and reliability in scientific inference.

Erich Kummerfeld, David Danks

Synth., 2014

Causal Clustering for 2-Factor Measurement Models.

Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

Tracking Time-varying Graphical Structure.

Erich Kummerfeld, David Danks

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013