• Media type: E-Article
  • Title: Potential pitfalls in the use of real-world data for studying long COVID
  • Contributor: Zhang, Harrison G.; Honerlaw, Jacqueline P.; Maripuri, Monika; Samayamuthu, Malarkodi Jebathilagam; Beaulieu-Jones, Brendin R.; Baig, Huma S.; L’Yi, Sehi; Ho, Yuk-Lam; Morris, Michele; Panickan, Vidul Ayakulangara; Wang, Xuan; Weber, Griffin M.; Liao, Katherine P.; Visweswaran, Shyam; Tan, Bryce W. Q.; Yuan, William; Gehlenborg, Nils; Muralidhar, Sumitra; Ramoni, Rachel B.; Aaron, James R.; Agapito, Giuseppe; Albayrak, Adem; Albi, Giuseppe; Alessiani, Mario; [...]
  • imprint: Springer Science and Business Media LLC, 2023
  • Published in: Nature Medicine
  • Language: English
  • DOI: 10.1038/s41591-023-02274-y
  • ISSN: 1078-8956; 1546-170X
  • Origination:
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