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Erich Kummerfeld
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2020 – today
- 2024
- [j6]Erich Kummerfeld, Leland Williams, Sisi Ma:
Power analysis for causal discovery. Int. J. Data Sci. Anal. 17(3): 289-304 (2024) - [j5]Erich Kummerfeld, Jaewon Lim, Xu Shi:
Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls. J. Mach. Learn. Res. 25: 229:1-229:35 (2024) - [i6]Bryan Andrews, Erich Kummerfeld:
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method. CoRR abs/2405.13100 (2024) - 2023
- [c13]Eric Rawls, Casey Gilmore, Erich Kummerfeld, Kelvin Lim, Tasha Nienow:
A Computational Framework for EEG Causal Oscillatory Connectivity. CAWS 2023: 40-51 - [c12]Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld:
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees. NeurIPS 2023 - [e2]Erich Kummerfeld, Sisi Ma, Eric Rawls, Bryan Andrews:
Causal Analysis Workshop Series, CAWS 2023, Virtual Event, August 14, 2023. Proceedings of Machine Learning Research 223, PMLR 2023 [contents] - [i5]Bryan Andrews, Joseph D. Ramsey, Ruben Sanchez-Romero, Jazmin Camchong, Erich Kummerfeld:
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees. CoRR abs/2310.17679 (2023) - [i4]Eric Rawls, Bryan Andrews, Kelvin Lim, Erich Kummerfeld:
Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study. CoRR abs/2312.12678 (2023) - 2022
- [j4]Eric Rawls
, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand
The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks. NeuroImage 255: 119211 (2022) - [c11]Jianqiu Zhang, Erich Kummerfeld, Gretchen M. Hultman, Paul E. Drawz, Terrence Adams, György J. Simon, Genevieve B. Melton:
Application of Causal Discovery Algorithms in Studying the Nephrotoxicity of Remdesivir Using Longitudinal Data from the EHR. AMIA 2022 - [i3]Andrew Colt Deckert, Erich Kummerfeld:
Investigating the effect of binning on causal discovery. CoRR abs/2202.11789 (2022) - 2021
- [c10]Brittany Stevenson, Erich Kummerfeld, Jennifer Merrill:
Applying Causal Discovery to Intensive Longitudinal Data. CAWS 2021: 20-29 - [c9]Erich Kummerfeld, Thomas Woolf, Will Glad, Michèle Sebag, Sisi Ma:
Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion. CAWS 2021: 52-54 - [e1]Sisi Ma, Erich Kummerfeld:
Causal Analysis Workshop Series, CAWS 2021, Minneapolis, Minnesota, USA, July 16, 2021. Proceedings of Machine Learning Research 160, PMLR 2021 [contents] - [i2]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:
A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR abs/2106.02118 (2021)
2010 – 2019
- 2019
- [j3]Erich Kummerfeld, Alexander Rix, Justin Anker
Assessing the collective utility of multiple analyses on clinical alcohol use disorder data. J. Am. Medical Informatics Assoc. 26(10): 1046-1055 (2019) - [c8]Suresh K. Bhavnani, Shyam Visweswaran, Erich Kummerfeld, Carlos Clark, Rebekah Penton:
Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? AMIA 2019 - [c7]Andrew Colt Deckert
Investigating the effect of binning on causal discovery. BIBM 2019: 2574-2581 - [c6]Erich Kummerfeld, Alexander Rix:
Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. BIBM 2019: 2586-2593 - [c5]Sisi Ma, Thomas Kirsh, Erich Kummerfeld, Melissa Fisher, Brandon Schermitzler
Constructing Instrument Mapping Using Markov Boundary Techniques: A Case Study with Two Quality of Life Instruments. BIBM 2019: 2594-2598 - [i1]Erich Kummerfeld, Alexander Rix:
Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. CoRR abs/1910.02047 (2019) - 2018
- [c4]Erich Kummerfeld, Justin Anker, Alexander Rix, Matt Kushner:
Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data. AMIA 2018 - 2016
- [c3]Erich Kummerfeld, Joseph D. Ramsey:
Causal Clustering for 1-Factor Measurement Models. KDD 2016: 1655-1664 - 2014
- [j2]Erich Kummerfeld, David Danks:
Model change and reliability in scientific inference. Synth. 191(12): 2673-2693 (2014) - [j1]Erich Kummerfeld, David Danks:
Erratum to: Model change and methodological virtues in scientific inference. Synth. 191(14): 3469-3472 (2014) - [c2]Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines:
Causal Clustering for 2-Factor Measurement Models. ECML/PKDD (2) 2014: 34-49 - 2013
- [c1]Erich Kummerfeld, David Danks:
Tracking Time-varying Graphical Structure. NIPS 2013: 1205-1213
Coauthor Index
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