Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance
| dc.contributor.author | Davis, Sharon E. | |
| dc.contributor.author | Ssemaganda, Henry | |
| dc.contributor.author | Koola, Jejo D. | |
| dc.contributor.author | Mao, Jialin | |
| dc.contributor.author | Westerman, Dax | |
| dc.contributor.author | Speroff, Theodore | |
| dc.contributor.author | Govindarajulu, Usha S. | |
| dc.contributor.author | Ramsay, Craig R. | |
| dc.contributor.author | Sedrakyan, Art | |
| dc.contributor.author | Ohno-Machado, Lucila | |
| dc.contributor.author | Resnic, Frederic S. | |
| dc.contributor.author | Matheny, Michael E. | |
| dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Evaluation | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.date.accessioned | 2023-07-19T16:02:01Z | |
| dc.date.available | 2023-07-19T16:02:01Z | |
| dc.date.issued | 2023-04-11 | |
| dc.description | Funding Information: This work was funded by a grant from the National Heart, Lung, and Blood Institute (NHLBI; grant number 1R01HL149948). The funding agency was not involved in the design of the study, collection and analysis of data, interpretation of results, or writing of the manuscript. Publisher Copyright: © 2023, The Author(s). | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 2471220 | |
| dc.identifier | 265400345 | |
| dc.identifier | a882371e-f97e-42cb-88d1-3bc1f52f07e6 | |
| dc.identifier | 85152301649 | |
| dc.identifier | 37041457 | |
| dc.identifier.citation | Davis, S E, Ssemaganda, H, Koola, J D, Mao, J, Westerman, D, Speroff, T, Govindarajulu, U S, Ramsay, C R, Sedrakyan, A, Ohno-Machado, L, Resnic, F S & Matheny, M E 2023, 'Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance', BMC Medical Research Methodology, vol. 23, no. 1, 89. https://doi.org/10.1186/s12874-023-01913-9 | en |
| dc.identifier.doi | 10.1186/s12874-023-01913-9 | |
| dc.identifier.iss | 1 | en |
| dc.identifier.issn | 1471-2288 | |
| dc.identifier.other | ORCID: /0000-0003-4043-7349/work/139624715 | |
| dc.identifier.uri | https://hdl.handle.net/2164/21257 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85152301649&partnerID=8YFLogxK | en |
| dc.identifier.vol | 23 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | BMC Medical Research Methodology | en |
| dc.subject | Hierarchical learning effects | en |
| dc.subject | Learning effects | en |
| dc.subject | Medical devices | en |
| dc.subject | Post-market safety surveillance | en |
| dc.subject | Simulations | en |
| dc.subject | Synthetic clinical data | en |
| dc.subject | R Medicine | en |
| dc.subject | Epidemiology | en |
| dc.subject | Health Informatics | en |
| dc.subject.lcc | R | en |
| dc.title | Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance | en |
| dc.type | Journal article | en |
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