Andrew E. Williams

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Ten principles for data sharing and commercialization

David K. Vawdrey, Philip R. O. Payne, Michael Halaas, 2021, J. Am. Medical Informatics Assoc..

Renin-angiotensin system blockers and susceptibility to COVID-19: a multinational open science cohort study

Christophe G. Lambert, George Hripcsak, Patrick B. Ryan, 2020, medRxiv.

Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis

Rae Woong Park, Ross D. Williams, Andrew E. Williams, 2020, The Lancet Digital Health.

Seek COVER: Development and validation of a personalized risk calculator for COVID-19 outcomes in an international network

Ross D. Williams, Young Hwa Choi, Andrew E. Williams, 2020, medRxiv.

Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network

Ross D. Williams, Andrew E. Williams, M. Suchard, 2022, BMC Medical Research Methodology.

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

Rae Woong Park, Andrew E. Williams, M. Suchard, 2020, Nature Communications.

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Ross D. Williams, Andrew E. Williams, N. Shah, 2020, PloS one.

Characterizing database granularity using SNOMED-CT hierarchy

Rae Woong Park, Andrew E. Williams, S. Liaw, 2020, AMIA.

NSAID use and clinical outcomes in COVID-19 patients: A 38-center retrospective cohort study

Andrew E. Williams, C. Mungall, J. Singh, 2021, medRxiv.

Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States

Jason A. Thomas, Andrew E. Williams, M. Suchard, 2020, medRxiv.

Ontologizing health systems data at scale: making translational discovery a reality

Sanya Bathla Taneja, Adrianne L. Stefanski, Peter N. Robinson, 2022, npj Digit. Medicine.

Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes

Michael A. Gargano, Andrew E. Williams, T. Murali, 2022, eBioMedicine.

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Philip R. O. Payne, Jeffrey G. Klann, Haendel Melissa, 2020, J. Am. Medical Informatics Assoc..

Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study

Andrew E. Williams, M. Suchard, M. Schuemie, 2020 .

An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza

Andrew E. Williams, M. Suchard, N. Shah, 2020, medRxiv.

Thirty-Day Outcomes of Children and Adolescents With COVID-19: An International Experience

Andrew E. Williams, M. Suchard, N. Shah, 2021, Pediatrics.

Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS

Jason A. Thomas, Andrew E. Williams, M. Suchard, 2022, Clinical epidemiology.

Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS

Andrew E. Williams, M. Suchard, N. Shah, 2021, Research square.

Heterogeneity and temporal variation in the management of COVID-19: a multinational drug utilization study including 71,921 hospitalized patients from China, South Korea, Spain, and the United States of America

Andrew E. Williams, M. Suchard, J. Jonnagaddala, 2020, medRxiv.

Can we trust the prediction model? Illustrating the importance of external validation by implementing the COVID-19 Vulnerability (C-19) Index across an international network of observational healthcare datasets.

Ross D. Williams, Andrew E. Williams, M. Suchard, 2021, JMIR medical informatics.

Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study

Ross D. Williams, Andrew E. Williams, M. Suchard, 2020, JMIR Medical Informatics.

DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models

Md Nazmul Islam, Andrew E. Williams, D. Asch, 2022, Nature Communications.

Baseline characteristics, management, and outcomes of 55,270 children and adolescents diagnosed with COVID-19 and 1,952,693 with influenza in France, Germany, Spain, South Korea and the United States: an international network cohort study

Andrew E. Williams, M. Suchard, N. Shah, 2020, medRxiv.

Vaccination Against SARS-CoV-2 Decreases Risk of Adverse Events in Patients who Develop COVID-19 Following Cancer Surgery

Philip R. O. Payne, Steven M. Johnson, David A. Eichmann, 2022, Annals of Surgical Oncology.

Generalizable Long COVID Subtypes: Findings from the NIH N3C and RECOVER Programs

Michael A. Gargano, Andrew E. Williams, Guy Karlebach, 2022, medRxiv.

Risk for Stillbirth among Pregnant Individuals with SARS-CoV-2 Infection Varied by Gestational Age

Philip R. O. Payne, Steven M. Johnson, David A. Eichmann, 2023, American Journal of Obstetrics and Gynecology.

Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

Andrew E. Williams, H. Lehmann, C. Chute, 2021, JAMA network open.

Hormone Replacement Therapy and COVID-19 Outcomes in Solid Organ Transplant Recipients Compared with the General Population

Philip R. O. Payne, Steven M. Johnson, David A. Eichmann, 2023, American Journal of Transplantation.

Cyclooxygenase inhibitor use is associated with increased COVID-19 severity

Andrew E. Williams, Guy Karlebach, C. Mungall, 2021, medRxiv.

Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population

Philip R. O. Payne, Steven M. Johnson, David A. Eichmann, 2023, American Journal of Transplantation.

Risk of severe acute respiratory syndrome coronavirus 2 infection among women with polycystic ovary syndrome

Philip R. O. Payne, David A. Eichmann, Andrew E. Williams, 2023, Fertility and Sterility.

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Paul M. Heider, Andrew E. Williams, Noémie Elhadad, 2023, J. Biomed. Informatics.

HemOnc: A new standard vocabulary for chemotherapy regimen representation in the OMOP common data model

Harry Hochheiser, Rimma Belenkaya, Jeremy L Warner, 2019, Journal of Biomedical Informatics.

Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research

Andrew E. Williams, J. Warner, C. Reich, 2021, JCO clinical cancer informatics.

Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data.

Andrew E. Williams, R. V. D. van den Bergh, B. De Meulder, 2023, European urology.

An example of medical device-based projection of clinical trial enrollment: Use of electrocardiographic data to identify candidates for a trial in acute coronary syndromes

Andrew E. Williams, H. Selker, E. Jones, 2018, Journal of Clinical and Translational Science.

Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population

Philip R. O. Payne, Steven M. Johnson, David A. Eichmann, 2023, American Journal of Transplantation.

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)

Andrew E. Williams, C. Chute, Hongfang Liu, 2021, J. Am. Medical Informatics Assoc..