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Challenges with quality of race and ethnicity data in observational databases., , , , , , , , , and . J. Am. Medical Informatics Assoc., 26 (8-9): 730-736 (2019)A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases., , , , , and . npj Digit. Medicine, (2023)Phenotype Concept Set Construction from Concept Pair Likelihoods., , , , , , , , , and . AMIA, AMIA, (2020)Transforming NHANES Database to the OMOP Common Data Model., , , , and . AMIA, AMIA, (2014)Big Data for Healthcare and Life Sciences: Learning Useful Insights from Imperfect Data., , , , and . AMIA, AMIA, (2016)Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare., , , , and . CRI, AMIA, (2016)The Applicability of an EHR Phenotype for Cohort Identification., , , and . CRI, AMIA, (2016)Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets., , , and . J. Big Data, 8 (1): 108 (2021)Treatment Pathways in Patients with Cancer Using a Large-scale Observational Data Network., , , , , , , and . AMIA, AMIA, (2018)The Value of an Open-Source Observational Research Collaboratory: Results from the OHDSI Initiative., , , and . AMIA, AMIA, (2015)