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Patrick B Ryan

Showing results (51-60 of 163) with videos related to

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BMC Medical Informatics and Decision Making|February 7, 2021
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort designJenna M Reps, Peter Rijnbeek, Alana Cuthbert, et al.
Statistical Analysis and Data Mining|May 16, 2017
Hierarchical Models for Multiple, Rare Outcomes Using Massive Observational Healthcare DatabasesTrevor R Shaddox, Patrick B Ryan, Martijn J Schuemie, et al.
Journal of the American Medical Informatics Association : JAMIA|August 14, 2021
From clinical trials to clinical practice: How long are drugs tested and then used by patients?Chi Yuan, Patrick B Ryan, Casey N Ta, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|December 6, 2021
90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction modelRoss D Williams, Jenna M Reps, , et al.
Annals of the New York Academy of Sciences|September 7, 2016
Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trialsAnando Sen, Patrick B Ryan, Andrew Goldstein, et al.
Pharmacoepidemiology and Drug Safety|January 13, 2025
Glucagon-Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Among Type 2 Diabetes Patients: Replication and Reliability Assessment Across a Research NetworkMitchell M Conover, Yasser Albogami, Jill Hardin, et al.
Journal of the American Medical Informatics Association : JAMIA|November 1, 2011
Validation of a common data model for active safety surveillance researchJ Marc Overhage, Patrick B Ryan, Christian G Reich, et al.
Drug Safety|October 30, 2013
Empirical performance of the calibrated self-controlled cohort analysis within temporal pattern discovery: lessons for developing a risk identification and analysis systemG Niklas Norén, Tomas Bergvall, Patrick B Ryan, et al.
BMC Medical Informatics and Decision Making|May 25, 2022
Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportabilityJenna Marie Reps, Ross D Williams, Martijn J Schuemie, et al.
Drug Safety|March 5, 2024
Authors' Response to Huang et al.'s Comment on "Serially Combining Epidemiological Designs Does Not Improve Overall Signal Detection in Vaccine Safety Surveillance"Fan Bu, Faaizah Arshad, George Hripcsak, et al.
Pageof 17

Showing results (51-60 of 163) with videos related to

Sort By:
Pageof 17
BMC Medical Informatics and Decision Making|February 7, 2021
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort designJenna M Reps, Peter Rijnbeek, Alana Cuthbert, et al.
Statistical Analysis and Data Mining|May 16, 2017
Hierarchical Models for Multiple, Rare Outcomes Using Massive Observational Healthcare DatabasesTrevor R Shaddox, Patrick B Ryan, Martijn J Schuemie, et al.
Journal of the American Medical Informatics Association : JAMIA|August 14, 2021
From clinical trials to clinical practice: How long are drugs tested and then used by patients?Chi Yuan, Patrick B Ryan, Casey N Ta, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|December 6, 2021
90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction modelRoss D Williams, Jenna M Reps, , et al.
Annals of the New York Academy of Sciences|September 7, 2016
Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trialsAnando Sen, Patrick B Ryan, Andrew Goldstein, et al.
Pharmacoepidemiology and Drug Safety|January 13, 2025
Glucagon-Like Peptide 1 Receptor Agonists and Chronic Lower Respiratory Disease Among Type 2 Diabetes Patients: Replication and Reliability Assessment Across a Research NetworkMitchell M Conover, Yasser Albogami, Jill Hardin, et al.
Journal of the American Medical Informatics Association : JAMIA|November 1, 2011
Validation of a common data model for active safety surveillance researchJ Marc Overhage, Patrick B Ryan, Christian G Reich, et al.
Drug Safety|October 30, 2013
Empirical performance of the calibrated self-controlled cohort analysis within temporal pattern discovery: lessons for developing a risk identification and analysis systemG Niklas Norén, Tomas Bergvall, Patrick B Ryan, et al.
BMC Medical Informatics and Decision Making|May 25, 2022
Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportabilityJenna Marie Reps, Ross D Williams, Martijn J Schuemie, et al.
Drug Safety|March 5, 2024
Authors' Response to Huang et al.'s Comment on "Serially Combining Epidemiological Designs Does Not Improve Overall Signal Detection in Vaccine Safety Surveillance"Fan Bu, Faaizah Arshad, George Hripcsak, et al.
Pageof 17