Title |
Potential pitfalls in the use of real-world data for studying long COVID |
|---|---|
Involved |
The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) (Verfasser)
Harrison G. Zhang (Verfasser) Jacqueline P. Honerlaw (Verfasser) Monika Maripuri (Verfasser)
Malarkodi Jebathilagam Samayamuthu (Verfasser)
Brendin R. Beaulieu-Jones (Verfasser) Huma S. Baig (Verfasser) Sehi L’Yi (Verfasser) Yuk-Lam Ho (Verfasser) Michele Morris (Verfasser) Vidul Ayakulangara Panickan (Verfasser) Xuan Wang (Verfasser) Griffin M. Weber (Verfasser) Katherine P. Liao (Verfasser) Shyam Visweswaran (Verfasser) Bryce W. Q. Tan (Verfasser) William Yuan (Verfasser) Nils Gehlenborg (Verfasser) Sumitra Muralidhar (Verfasser) Rachel B. Ramoni (Verfasser) Isaac Kohane (Verfasser) Zongqi Xia (Verfasser) Kelly Cho (Verfasser) Tianxi Cai (Verfasser) Gabriel A. Brat (Verfasser) SpringerLink (Online service) (Sonstige) |
Published in |
Nature medicine 29, 5, 13.4.2023, date:5.2023, Seite 1040-1043 |
Published |
2023 |
Language |
|
Country |
|
Topic |
|
Subject |
Biomedical Research. |
DDC notation |
|
Persistent identifier |
urn:nbn:de:101:1-2023091011495790874544 (URN) |
Record ID |
1302079204 |
Please note
The beta version does not yet contain all functions and information of the DNB portal catalogue. If you are missing information or want to order a medium, please visit the page in the DNB portal catalogue via the following link: