Zobrazeno 1 - 10
of 571
pro vyhledávání: '"Ryan, Patrick B"'
Autor:
Reps, Jenna M, Kim, Chungsoo, Williams, Ross D, Markus, Aniek F, Yang, Cynthia, Duarte-Salles, Talita, Falconer, Thomas, Jonnagaddala, Jitendra, Williams, Andrew, Fernández-Bertolín, Sergio, DuVall, Scott L, Kostka, Kristin, Rao, Gowtham, Shoaibi, Azza, Ostropolets, Anna, Spotnitz, Matthew E, Zhang, Lin, Casajust, Paula, Steyerberg, Ewout W, Nyberg, Fredrik, Kaas-Hansen, Benjamin Skov, Choi, Young Hwa, Morales, Daniel, Liaw, Siaw-Teng, Abrahão, Maria Tereza Fernandes, Areia, Carlos, Matheny, Michael E, Lynch, Kristine E, Aragón, María, Park, Rae Woong, Hripcsak, George, Reich, Christian G, Suchard, Marc A, You, Seng Chan, Ryan, Patrick B, Prieto-Alhambra, Daniel, Rijnbeek, Peter R
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 4, p e21547 (2021)
BackgroundSARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those who do not. The COVID
Externí odkaz:
https://doaj.org/article/66b2213a810647dabf79dcb9e72da9f0
Autor:
Callahan, Tiffany J., Tripodi, Ignacio J., Stefanski, Adrianne L., Cappelletti, Luca, Taneja, Sanya B., Wyrwa, Jordan M., Casiraghi, Elena, Matentzoglu, Nicolas A., Reese, Justin, Silverstein, Jonathan C., Hoyt, Charles Tapley, Boyce, Richard D., Malec, Scott A., Unni, Deepak R., Joachimiak, Marcin P., Robinson, Peter N., Mungall, Christopher J., Cavalleri, Emanuele, Fontana, Tommaso, Valentini, Giorgio, Mesiti, Marco, Gillenwater, Lucas A., Santangelo, Brook, Vasilevsky, Nicole A., Hoehndorf, Robert, Bennett, Tellen D., Ryan, Patrick B., Hripcsak, George, Kahn, Michael G., Bada, Michael, Baumgartner Jr, William A., Hunter, Lawrence E.
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle
Externí odkaz:
http://arxiv.org/abs/2307.05727
Autor:
Weaver, James, Ryan, Patrick B., Strauss, Victoria Y., Suchard, Marc A., Swerdel, Joel, Prieto-Alhambra, Daniel
Outcome phenotype measurement error is rarely corrected in comparative effect estimation studies in observational pharmacoepidemiology. Quantitative bias analysis (QBA) is a misclassification correction method that algebraically adjusts person counts
Externí odkaz:
http://arxiv.org/abs/2305.15524
Autor:
Bu, Fan, Schuemie, Martijn J., Nishimura, Akihiko, Smith, Louisa H., Kostka, Kristin, Falconer, Thomas, McLeggon, Jody-Ann, Ryan, Patrick B., Hripcsak, George, Suchard, Marc A.
Post-market safety surveillance is an integral part of mass vaccination programs. Typically relying on sequential analysis of real-world health data as they accrue, safety surveillance is challenged by the difficulty of sequential multiple testing an
Externí odkaz:
http://arxiv.org/abs/2305.12034
Autor:
Cai, Cindy X., Nishimura, Akihiko, Bowring, Mary G., Westlund, Erik, Tran, Diep, Ng, Jia H., Nagy, Paul, Cook, Michael, McLeggon, Jody-Ann, DuVall, Scott L., Matheny, Michael E., Golozar, Asieh, Ostropolets, Anna, Minty, Evan, Desai, Priya, Bu, Fan, Toy, Brian, Hribar, Michelle, Falconer, Thomas, Zhang, Linying, Lawrence-Archer, Laurence, Boland, Michael V., Goetz, Kerry, Hall, Nathan, Shoaibi, Azza, Reps, Jenna, Sena, Anthony G., Blacketer, Clair, Swerdel, Joel, Jhaveri, Kenar D., Lee, Edward, Gilbert, Zachary, Zeger, Scott L., Crews, Deidra C., Suchard, Marc A., Hripcsak, George, Ryan, Patrick B.
Publikováno v:
In Ophthalmology Retina August 2024 8(8):733-743
Autor:
Rekkas, Alexandros, van Klaveren, David, Ryan, Patrick B., Steyerberg, Ewout W., Kent, David M., Rijnbeek, Peter R.
The Predictive Approaches to Treatment Effect Heterogeneity statement focused on baseline risk as a robust predictor of treatment effect and provided guidance on risk-based assessment of treatment effect heterogeneity in the RCT setting. The aim of t
Externí odkaz:
http://arxiv.org/abs/2010.06430
Publikováno v:
International Journal of Medical Informatics, Volume 163, July 2022, Article number 104762
Objective: Provide guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing objectives of improving model performance and reducing model complexity as w
Externí odkaz:
http://arxiv.org/abs/2008.07361
Autor:
Voss, Erica A., Shoaibi, Azza, Yin Hui Lai, Lana, Blacketer, Clair, Alshammari, Thamir, Makadia, Rupa, Haynes, Kevin, Sena, Anthony G., Rao, Gowtham, van Sandijk, Sebastiaan, Fraboulet, Clement, Boyer, Laurent, Le Carrour, Tanguy, Horban, Scott, Morales, Daniel R., Martínez Roldán, Jordi, Ramírez-Anguita, Juan Manuel, Mayer, Miguel A., de Wilde, Marcel, John, Luis H., Duarte-Salles, Talita, Roel, Elena, Pistillo, Andrea, Kolde, Raivo, Maljković, Filip, Denaxas, Spiros, Papez, Vaclav, Kahn, Michael G., Natarajan, Karthik, Reich, Christian, Secora, Alex, Minty, Evan P., Shah, Nigam H., Posada, Jose D., Garcia Morales, Maria Teresa, Bosca, Diego, Cadenas Juanino, Honorio, Diaz Holgado, Antonio, Pedrera Jiménez, Miguel, Serrano Balazote, Pablo, García Barrio, Noelia, Şen, Selçuk, Üresin, Ali Yağız, Erdogan, Baris, Belmans, Luc, Byttebier, Geert, Malbrain, Manu L.N.G., Dedman, Daniel J., Cuccu, Zara, Vashisht, Rohit, Butte, Atul J., Patel, Ayan, Dahm, Lisa, Han, Cora, Bu, Fan, Arshad, Faaizah, Ostropolets, Anna, Nyberg, Fredrik, Hripcsak, George, Suchard, Marc A., Prieto-Alhambra, Dani, Rijnbeek, Peter R., Schuemie, Martijn J., Ryan, Patrick B.
Publikováno v:
In eClinicalMedicine April 2023 58
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Concerns over reproducibility in science extend to research using existing healthcare data; many observational studies investigating the same topic produce conflicting results, even when using the same data. To address this problem, we propose a para
Externí odkaz:
http://arxiv.org/abs/1803.10791