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Med (New York, N.Y.)|May 19, 2022
Variation in common laboratory test results caused by ambient temperatureZiad Obermeyer, Devin PopeThe Quarterly Journal of Economics|October 7, 2025
DIAGNOSING PHYSICIAN ERROR: A MACHINE LEARNING APPROACH TO LOW-VALUE HEALTH CARESendhil Mullainathan, Ziad ObermeyerJAMA Network Open|January 23, 2020
Association of Clinical Characteristics With Variation in Emergency Physician Preferences for PatientsCindy Y Chang, Ziad ObermeyerThe Quarterly Journal of Economics|October 11, 2024
The Health Costs of Cost SharingAmitabh Chandra, Evan Flack, Ziad ObermeyerProceedings of the National Academy of Sciences of the United States of America|August 13, 2024
Race adjustments in clinical algorithms can help correct for racial disparities in data qualityAnna Zink, Ziad Obermeyer, Emma PiersonBMJ (Clinical Research Ed.)|December 15, 2017
Individual differences in normal body temperature: longitudinal big data analysis of patient recordsZiad Obermeyer, Jasmeet K Samra, Sendhil MullainathanNature Communications|July 1, 2025
A machine learning model using clinical notes to identify physician fatigueChao-Chun Hsu, Ziad Obermeyer, Chenhao TanAMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|July 2, 2019
A Comparison of Patient History- and EKG-based Cardiac Risk ScoresAndrew C Miller, Ziad Obermeyer, Sendhil MullainathanPsychological Science|December 15, 2010
Round numbers as goals: evidence from baseball, SAT takers, and the labDevin Pope, Uri SimonsohnPageof 5