Search Results - "Ryan, Patrick B"

Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis by Suchard, Marc A, Schuemie, Martijn J, Krumholz, Harlan M, You, Seng Chan, Chen, RuiJun, Pratt, Nicole, Reich, Christian G, Duke, Jon, Madigan, David, Hripcsak, George, Ryan, Patrick B

“…Uncertainty remains about the optimal monotherapy for hypertension, with current guidelines recommending any primary agent among the first-line drug classes…”
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Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data by Schuemie, Martijn J., Hripcsak, George, Ryan, Patrick B., Madigan, David, Suchard, Marc A.

“…Observational healthcare data, such as electronic health records and administrative claims, offer potential to estimate effects of medical products at scale…”
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Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension by Hripcsak, George, Suchard, Marc A, Shea, Steven, Chen, RuiJun, You, Seng Chan, Pratt, Nicole, Madigan, David, Krumholz, Harlan M, Ryan, Patrick B, Schuemie, Martijn J

“…Chlorthalidone is currently recommended as the preferred thiazide diuretic to treat hypertension, but no trials have directly compared risks and benefits. To…”
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Interpreting observational studies: why empirical calibration is needed to correct p-values by Schuemie, Martijn J., Ryan, Patrick B., DuMouchel, William, Suchard, Marc A., Madigan, David

“…Often the literature makes assertions of medical product effects on the basis of ‘ p < 0.05’. The underlying premise is that at this threshold, there is only a…”
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Characterizing treatment pathways at scale using the OHDSI network by Hripcsak, George, Ryan, Patrick B., Duke, Jon D., Shah, Nigam H., Park, Rae Woong, Huser, Vojtech, Suchard, Marc A., Schuemie, Martijn J., DeFalco, Frank J., Perotte, Adler, Banda, Juan M., Reich, Christian G., Schilling, Lisa M., Matheny, Michael E., Meeker, Daniella, Pratt, Nicole, Madigan, David

“…Observational research promises to complement experimental research by providing large, diverse populations that would be infeasible for an experiment…”
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Validation of a common data model for active safety surveillance research by Overhage, J Marc, Ryan, Patrick B, Reich, Christian G, Hartzema, Abraham G, Stang, Paul E

“…Systematic analysis of observational medical databases for active safety surveillance is hindered by the variation in data models and coding systems. Data…”
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Feasibility and utility of applications of the common data model to multiple, disparate observational health databases by Voss, Erica A, Makadia, Rupa, Matcho, Amy, Ma, Qianli, Knoll, Chris, Schuemie, Martijn, DeFalco, Frank J, Londhe, Ajit, Zhu, Vivienne, Ryan, Patrick B

“…Objectives To evaluate the utility of applying the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) across multiple observational…”
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Advancing the Science for Active Surveillance: Rationale and Design for the Observational Medical Outcomes Partnership by STANG, Paul E, RYAN, Patrick B, RACOOSIN, Judith A, OVERHAGE, J. Marc, HARTZEMA, Abraham G, REICH, Christian, WELEBOB, Emily, SCARNECCHIA, Thomas, WOODCOCK, Janet

“…The U.S. Food and Drug Administration (FDA) Amendments Act of 2007 mandated that the FDA develop a system for using automated health care data to identify…”
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PheValuator: Development and evaluation of a phenotype algorithm evaluator by Swerdel, Joel N., Hripcsak, George, Ryan, Patrick B.

“…[Display omitted] •Phenotype Algorithms (PAs) are used in research to determine presence of disease.•Evaluation of PAs for sensitivity/specificity/predictive…”
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Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases by Chandran, Urmila, Reps, Jenna, Stang, Paul E, Ryan, Patrick B

“…Confounding by disease severity is an issue in pharmacoepidemiology studies of rheumatoid arthritis (RA), due to channeling of sicker patients to certain…”
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Defining a Reference Set to Support Methodological Research in Drug Safety by Ryan, Patrick B., Schuemie, Martijn J., Welebob, Emily, Duke, Jon, Valentine, Sarah, Hartzema, Abraham G.

“…Background Methodological research to evaluate the performance of methods requires a benchmark to serve as a referent comparison. In drug safety, the…”
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Empirical assessment of methods for risk identification in healthcare data: results from the experiments of the Observational Medical Outcomes Partnership by Ryan, Patrick B., Madigan, David, Stang, Paul E., Marc Overhage, J., Racoosin, Judith A., Hartzema, Abraham G.

“…Background: Expanded availability of observational healthcare data (both administrative claims and electronic health records) has prompted the development of…”
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Wisdom of the CROUD:  Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data by Reps, Jenna Marie, Cepeda, M Soledad, Ryan, Patrick B

“…Some patients who are given opioids for pain could develop opioid use disorder. If it was possible to identify patients who are at a higher risk of opioid use…”
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A plea to stop using the case‐control design in retrospective database studies by Schuemie, Martijn J., Ryan, Patrick B., Man, Kenneth K.C., Wong, Ian C.K., Suchard, Marc A., Hripcsak, George

“…The case‐control design is widely used in retrospective database studies, often leading to spectacular findings. However, results of these studies often cannot…”
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Development and validation of a patient-level model to predict dementia across a network of observational databases by John, Luis H, Fridgeirsson, Egill A, Kors, Jan A, Reps, Jenna M, Williams, Ross D, Ryan, Patrick B, Rijnbeek, Peter R

“…A prediction model can be a useful tool to quantify the risk of a patient developing dementia in the next years and take risk-factor-targeted intervention…”
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A curated and standardized adverse drug event resource to accelerate drug safety research by Banda, Juan M., Evans, Lee, Vanguri, Rami S., Tatonetti, Nicholas P., Ryan, Patrick B., Shah, Nigam H.

“…Identification of adverse drug reactions (ADRs) during the post-marketing phase is one of the most important goals of drug safety surveillance. Spontaneous…”
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Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation by Reps, Jenna M, Williams, Ross D, You, Seng Chan, Falconer, Thomas, Minty, Evan, Callahan, Alison, Ryan, Patrick B, Park, Rae Woong, Lim, Hong-Seok, Rijnbeek, Peter

“…To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up…”
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Development and evaluation of an algorithm to link mothers and infants in two US commercial healthcare claims databases for pharmacoepidemiology research by Weaver, James, Hardin, Jill H, Blacketer, Clair, Krumme, Alexis A, Jacobson, Melanie H, Ryan, Patrick B

“…Abstract Background Administrative healthcare claims databases are used in drug safety research but are limited for investigating the impacts of prenatal…”
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An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes by Edmondson, Mackenzie J., Luo, Chongliang, Duan, Rui, Maltenfort, Mitchell, Chen, Zhaoyi, Locke, Kenneth, Shults, Justine, Bian, Jiang, Ryan, Patrick B., Forrest, Christopher B., Chen, Yong

“…Clinical research networks (CRNs), made up of multiple healthcare systems each with patient data from several care sites, are beneficial for studying rare…”
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DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models by Luo, Chongliang, Islam, Md. Nazmul, Sheils, Natalie E., Buresh, John, Reps, Jenna, Schuemie, Martijn J., Ryan, Patrick B., Edmondson, Mackenzie, Duan, Rui, Tong, Jiayi, Marks-Anglin, Arielle, Bian, Jiang, Chen, Zhaoyi, Duarte-Salles, Talita, Fernández-Bertolín, Sergio, Falconer, Thomas, Kim, Chungsoo, Park, Rae Woong, Pfohl, Stephen R., Shah, Nigam H., Williams, Andrew E., Xu, Hua, Zhou, Yujia, Lautenbach, Ebbing, Doshi, Jalpa A., Werner, Rachel M., Asch, David A., Chen, Yong

“…Linear mixed models are commonly used in healthcare-based association analyses for analyzing multi-site data with heterogeneous site-specific random effects…”
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