Propensity score matching as an effective strategy for biomarker cohort design and omics data analysis

• Masaki Maekawa,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft

  Affiliations Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America, Harvard Medical School, Boston, MA, United States of America, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America

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• Atsushi Tanaka,

  Roles Data curation, Investigation, Methodology

  Affiliations Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America, Harvard Medical School, Boston, MA, United States of America, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America

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• Makiko Ogawa,

  Roles Data curation, Investigation, Methodology

  Affiliations Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America, Harvard Medical School, Boston, MA, United States of America, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America

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• Michael H. Roehrl

  Roles Conceptualization, Funding acquisition, Investigation, Project administration, Writing – review & editing

  * E-mail: michael_roehrl@bidmc.harvard.edu

  Affiliations Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America, Harvard Medical School, Boston, MA, United States of America, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America

  https://orcid.org/0000-0003-4892-1098

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