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The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variants.

, , and . Bioinform., 38 (21): 4972-4974 (October 2022)

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Cox regression is robust to inaccurate EHR-extracted event time: an application to EHR-based GWAS., , , , and . Bioinform., 38 (8): 2297-2306 (2022)Computable Longitudinal Patient Trajectories., , , , and . AMIA, AMIA, (2018)A Natural Language Processing Algorithm to define a Venous Thromboembolism Phenotype., , and . AMIA, AMIA, (2013)PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations., , , , , , , , , and . Bioinform., 26 (9): 1205-1210 (2010)Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort., , , , , , , , , and 3 other author(s). J. Biomed. Informatics, (2021)Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program., , , , , , , , , and 6 other author(s). J. Am. Medical Informatics Assoc., 31 (1): 139-153 (December 2023)Extracting timing and status descriptors for colonoscopy testing from electronic medical records., , , , , , and . J. Am. Medical Informatics Assoc., 17 (4): 383-388 (2010)Classifying ICD-9 codes into meaningful disease categories: A comparison between two coding systems., , and . AMIA, AMIA, (2013)Systematic replication of smoking disease associations in the All of Us Research Program., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2021)The PheRS R package: Phenotype risk score generation and analysis tool using electronic health record data., , and . AMIA, AMIA, (2022)