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Patrick B Ryan

Showing results (101-110 of 163) with videos related to

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Annals of Internal Medicine|November 3, 2010
Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes PartnershipPaul E Stang, Patrick B Ryan, Judith A Racoosin, et al.
Journal of the American Medical Informatics Association : JAMIA|August 23, 2020
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case studyMartijn J Schuemie, Patrick B Ryan, Nicole Pratt, et al.
EGEMS (Washington, DC)|June 9, 2018
A Comparison of Data Quality Assessment Checks in Six Data Sharing NetworksTiffany J Callahan, Alan E Bauck, David Bertoch, et al.
Journal of the American Medical Informatics Association : JAMIA|September 10, 2020
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)Martijn J Schuemie, Patrick B Ryan, Nicole Pratt, et al.
Journal of the American Medical Informatics Association : JAMIA|February 12, 2015
Feasibility and utility of applications of the common data model to multiple, disparate observational health databasesErica A Voss, Rupa Makadia, Amy Matcho, et al.
American Journal of Epidemiology|May 8, 2013
Evaluating the impact of database heterogeneity on observational study resultsDavid Madigan, Patrick B Ryan, Martijn Schuemie, et al.
Drug Safety|October 30, 2013
A comparison of the empirical performance of methods for a risk identification systemPatrick B Ryan, Paul E Stang, J Marc Overhage, et al.
JAMA Internal Medicine|February 18, 2020
Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat HypertensionGeorge Hripcsak, Marc A Suchard, Steven Shea, et al.
Scientific Reports|October 5, 2021
An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomesMackenzie J Edmondson, Chongliang Luo, Rui Duan, et al.
Statistics in Medicine|November 27, 2023
Bayesian safety surveillance with adaptive bias correctionFan Bu, Martijn J Schuemie, Akihiko Nishimura, et al.
Pageof 17

Showing results (101-110 of 163) with videos related to

Sort By:
Pageof 17
Annals of Internal Medicine|November 3, 2010
Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes PartnershipPaul E Stang, Patrick B Ryan, Judith A Racoosin, et al.
Journal of the American Medical Informatics Association : JAMIA|August 23, 2020
Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case studyMartijn J Schuemie, Patrick B Ryan, Nicole Pratt, et al.
EGEMS (Washington, DC)|June 9, 2018
A Comparison of Data Quality Assessment Checks in Six Data Sharing NetworksTiffany J Callahan, Alan E Bauck, David Bertoch, et al.
Journal of the American Medical Informatics Association : JAMIA|September 10, 2020
Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)Martijn J Schuemie, Patrick B Ryan, Nicole Pratt, et al.
Journal of the American Medical Informatics Association : JAMIA|February 12, 2015
Feasibility and utility of applications of the common data model to multiple, disparate observational health databasesErica A Voss, Rupa Makadia, Amy Matcho, et al.
American Journal of Epidemiology|May 8, 2013
Evaluating the impact of database heterogeneity on observational study resultsDavid Madigan, Patrick B Ryan, Martijn Schuemie, et al.
Drug Safety|October 30, 2013
A comparison of the empirical performance of methods for a risk identification systemPatrick B Ryan, Paul E Stang, J Marc Overhage, et al.
JAMA Internal Medicine|February 18, 2020
Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat HypertensionGeorge Hripcsak, Marc A Suchard, Steven Shea, et al.
Scientific Reports|October 5, 2021
An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomesMackenzie J Edmondson, Chongliang Luo, Rui Duan, et al.
Statistics in Medicine|November 27, 2023
Bayesian safety surveillance with adaptive bias correctionFan Bu, Martijn J Schuemie, Akihiko Nishimura, et al.
Pageof 17