Tracking Time-varying Graphical Structure. - Erich Kummerfeld; David Danks (NIPS, 2013)

Causal Clustering for 2-Factor Measurement Models. - Erich Kummerfeld; Joe Ramsey; Renjie Yang; Peter Spirtes; Richard Scheines (ECML/PKDD (2), 2014)

Model change and reliability in scientific inference. - Erich Kummerfeld; David Danks (Synth., 2014)

Erratum to: Model change and methodological virtues in scientific inference. - Erich Kummerfeld; David Danks (Synth., 2014)

Causal Clustering for 1-Factor Measurement Models. - Erich Kummerfeld; Joseph D. Ramsey (KDD, 2016)

Methodological Advances in the Study of Hidden Variables: A Demonstration on Clinical Alcohol Use Disorder Data. - Erich Kummerfeld; Justin Anker; Alexander Rix; Matt Kushner (AMIA, 2018)

Team-Centered Informatics: A Necessary Adaptation to Translational and Implementation Science? - Suresh K. Bhavnani; Shyam Visweswaran; Erich Kummerfeld; Carlos Clark; Rebekah Penton (AMIA, 2019)

Investigating the effect of binning on causal discovery. - Andrew Colt Deckert; Erich Kummerfeld (BIBM, 2019)

Simulations evaluating resampling methods for causal discovery: ensemble performance and calibration. - Erich Kummerfeld; Alexander Rix (BIBM, 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 (BIBM, 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)

Important Topics in Causal Analysis: Summary of the CAWS 2021 Round Table Discussion. - Erich Kummerfeld; Thomas Woolf; Will Glad; Michèle Sebag; Sisi Ma (CAWS, 2021)

Applying Causal Discovery to Intensive Longitudinal Data. - Brittany Stevenson; Erich Kummerfeld; Jennifer Merrill (CAWS, 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; et al. (CoRR, 2021)

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 (AMIA, 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)

A Computational Framework for EEG Causal Oscillatory Connectivity. - Eric Rawls; Casey Gilmore; Erich Kummerfeld; Kelvin Lim; Tasha Nienow (CAWS, 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 (NeurIPS, 2023)

Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study. - Eric Rawls; Bryan Andrews; Kelvin Lim; Erich Kummerfeld (CoRR, 2023)

Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method. - Bryan Andrews; Erich Kummerfeld (CoRR, 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)

Power analysis for causal discovery. - Erich Kummerfeld; Leland Williams; Sisi Ma (Int. J. Data Sci. Anal., 2024)

Artifacts in spatial transcriptomics data: their detection, importance, prevalence, and prevention. - Erich Kummerfeld; Leland Williams; Yinzhao Wang; Samuel T. Peters; Elizabeth Schmidt; Mickayla Dufresne-To; David Bernlohr; Paul Robbins; Sayeed Ikramuddin; Oyedele Adeyi; Linshan Laux; Grant Barthel; et al. (Briefings Bioinform., 2025)

An extensive simulation study evaluating the interaction of resampling techniques across multiple causal discovery contexts. - Ritwick Banerjee; Bryan Andrews; Erich Kummerfeld (CoRR, 2025)

Prompt Optimization and Evaluation for LLM Automated Red Teaming. - Michael Freenor; Lauren Alvarez; Milton Leal; Lily Smith; Joel Garrett; Yelyzaveta Husieva; Madeline Woodruff; Ryan Miller; Erich Kummerfeld; Rafael Medeiros; Sander Schulhoff (CoRR, 2025)