Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data

• Hiraku Kumamaru ,

  Roles Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: hik205@mail.harvard.edu

  Affiliation Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo, Tokyo, Japan

  https://orcid.org/0000-0002-9759-6191

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• Jessica J. Jalbert,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Health Economics and Outcomes Research, Regeneron Pharmaceuticals, Inc, Tarrytown, New York, United States of America

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• Louis L. Nguyen,

  Roles Investigation, Methodology, Supervision, Writing – review & editing

  Affiliation Division of Vascular and Endovascular Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America

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• Lauren A. Williams,

  Roles Data curation, Project administration, Writing – review & editing

  Affiliation Philadelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania, United States of America

  https://orcid.org/0000-0003-3443-3552

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• Hiroaki Miyata,

  Roles Investigation, Supervision, Writing – review & editing

  Affiliation Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo, Tokyo, Japan

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• Soko Setoguchi

  Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, United States of America

  https://orcid.org/0000-0002-1583-752X

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