Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of biocreep” by Jean Feng, Scott Emerson, and Noah Simon von Rose, Sherri

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A Review of Generalizability and Transportability von Degtiar, Irina, Rose, Sherri

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Targeted Learning: Causal Inference for Observational and Experimental Data von van der Laan, Mark J

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Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference von Blakely, Tony, Lynch, John, Simons, Koen, Bentley, Rebecca, Rose, Sherri

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Clinical Research Reporting Paradigms May Incompletely Describe Participant Identities von Enache Oana, M, Lisa, Goldman Rosas, Sherri, Rose

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Ethical Machine Learning in Healthcare von Chen, Irene Y, Pierson, Emma, Rose, Sherri, Joshi, Shalmali, Ferryman, Kadija, Ghassemi, Marzyeh

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Implementation of G-Computation on a Simulated Data Set: Demonstration of a Causal Inference Technique von SNOWDEN, Jonathan M, ROSE, Sherri, MORTIMER, Kathleen M

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Mortality Risk Score Prediction in an Elderly Population Using Machine Learning von ROSE, Sherri

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Intersections of machine learning and epidemiological methods for health services research von Rose, Sherri

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A Machine Learning Framework for Plan Payment Risk Adjustment von Rose, Sherri

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Identifying undercompensated groups defined by multiple attributes in risk adjustment von Zink, Anna, Rose, Sherri

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Predicting posttraumatic stress disorder following a natural disaster von Rosellini, Anthony J., Dussaillant, Francisca, Zubizarreta, José R., Kessler, Ronald C., Rose, Sherri

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Measuring concordance of data sources used for infectious disease research in the USA: a retrospective data analysis von Majumder, Maimuna S, Cusick, Marika, Rose, Sherri

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Effects of episode-based payment on health care spending and utilization: Evidence from perinatal care in Arkansas von Carroll, Caitlin, Chernew, Michael, Fendrick, A. Mark, Thompson, Joe, Rose, Sherri

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Machine Learning for Prediction in Electronic Health Data von Rose, Sherri

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Fair regression for health care spending von Zink, Anna, Rose, Sherri

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Considerations for outcome‐dependent biased sampling in health databases von Rose, Sherri

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Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending von Rose, Sherri

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Prediction of absolute risk of acute graft-versus-host disease following hematopoietic cell transplantation von Lee, Catherine, Haneuse, Sebastien, Wang, Hai-Lin, Rose, Sherri, Spellman, Stephen R, Verneris, Michael, Hsu, Katharine C, Fleischhauer, Katharina, Lee, Stephanie J, Abdi, Reza

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Public reporting of colonoscopy quality is associated with an increase in endoscopist adenoma detection rate von Abdul-Baki, Heitham, MD, Schoen, Robert E., MD, MPH, Dean, Katie, Rose, Sherri, PhD, Leffler, Daniel A., MD, Kuganeswaran, Eliathamby, MD, Morris, Michele, Carrell, David, PhD, Mehrotra, Ateev, MD

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