F. Defalco

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Feasibility and utility of applications of the common data model to multiple, disparate observational health databases

Vivienne J. Zhu, Patrick B. Ryan, Martijn J. Schuemie, 2015, J. Am. Medical Informatics Assoc..

Characterizing treatment pathways at scale using the OHDSI network

Rae Woong Park, D. Madigan, M. Suchard, 2016, Proceedings of the National Academy of Sciences.

Acute pancreatitis risk in type 2 diabetes patients treated with canagliflozin versus other antihyperglycemic agents: an observational claims database study

M. Schuemie, P. Ryan, J. Berlin, 2020, Current medical research and opinion.

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.

Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019

F. Defalco, M. S. Cepeda, M. Etropolski, 2020, BMC Psychiatry.

Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co‐transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases

M. Schuemie, P. Ryan, J. Berlin, 2019, Pharmacoepidemiology and drug safety.

Comparative effectiveness of canagliflozin, SGLT2 inhibitors and non‐SGLT2 inhibitors on the risk of hospitalization for heart failure and amputation in patients with type 2 diabetes mellitus: A real‐world meta‐analysis of 4 observational databases (OBSERVE‐4D)

M. Schuemie, P. Ryan, P. Stang, 2018, Diabetes, obesity & metabolism.

OHDSI: An Open-Source Platform for Observational Data Analytics and Collaborative Research

Patrick B. Ryan, Jon D. Duke, Chris Knoll, 2015, AMIA.

Risk Prediction for Ischemic Stroke and Transient Ischemic Attack in Patients Without Atrial Fibrillation: A Retrospective Cohort Study.

P. Ryan, E. Voss, F. Defalco, 2017, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Characterizing database granularity using SNOMED-CT hierarchy

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

Empirical assessment of alternative methods for identifying seasonality in observational healthcare data

F. Defalco, Anthony Molinaro, 2021, BMC Medical Research Methodology.

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.

Super-Spreader Businesses and Risk of COVID-19 Transmission

F. Defalco, A. O’Donoghue, T. Dechen, 2020, medRxiv.

Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019

F. Defalco, M. S. Cepeda, M. Etropolski, 2019, BMC Psychiatry.

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.

Rare variant collapsing in conjunction with mean log p-value and gradient boosting approaches applied to Genetic Analysis Workshop 17 data

N. Raghavan, M. Wilcox, F. Defalco, 2011, BMC proceedings.

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.

Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets

Patrick B. Ryan, Frank J. DeFalco, Levon Utidjian, 2016, EGEMS.

Increasing trust in real-world evidence through evaluation of observational data quality

P. Ryan, F. Defalco, P. Rijnbeek, 2021, medRxiv.

OP-JAMI210137 2251..2257

P. Ryan, F. Defalco, P. Rijnbeek, 2021 .

Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study

Spiros C. Denaxas, M. Suchard, P. Ryan, 2022, Drug Safety.

Characteristics and Outcomes of Over 300,000 Patients with COVID-19 and History of Cancer in the United States and Spain

M. Suchard, N. Shah, I. Soerjomataram, 2021, Cancer Epidemiology, Biomarkers & Prevention.

Risk of lower extremity amputations in people with type 2 diabetes mellitus treated with sodium‐glucose co‐transporter‐2 inhibitors in the USA: A retrospective cohort study

M. Schuemie, P. Ryan, P. Stang, 2017, Diabetes, obesity & metabolism.

Incidence of diabetic ketoacidosis among patients with type 2 diabetes mellitus treated with SGLT2 inhibitors and other antihyperglycemic agents.

Martijn J Schuemie, Zhong Yuan, Jesse A Berlin, 2017, Diabetes research and clinical practice.

Canagliflozin (CANA) vs. Other Antihyperglycemic Agents on the Risk of Below-Knee Amputation (BKA) for Patients with T2DM—A Real-World Analysis of >700,000 U.S. Patients

M. Schuemie, P. Ryan, P. Stang, 2018, Diabetes.

Applying standardized drug terminologies to observational healthcare databases: a case study on opioid exposure

Patrick B. Ryan, Frank J. DeFalco, P. Ryan, 2012, Health Services and Outcomes Research Methodology.

CohortDiagnostics: phenotype evaluation across a network of observational data sources using population-level characterization

M. Schuemie, P. Ryan, E. Voss, 2023, medRxiv.

Characteristics and outcomes of 118,155 COVID-19 individuals with a history of cancer in the United States and Spain

N. Shah, I. Soerjomataram, J. Jonnagaddala, 2021, medRxiv.