Potential pitfalls in the use of real-world data for studying long COVID
- Resource Type
- Letter
- Authors
- 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.; Kohane, Isaac S.; Xia, Zongqi; Cho, Kelly; Cai, Tianxi; Brat, Gabriel A.
- Source
- Nature Medicine. 29(5):1040-1043
- Subject
- Language
- English
- ISSN
- 1078-8956
1546-170X