Potential pitfalls in the use of real world data to study Long COVID
Citation
Harrison Zhang, Jacqueline Honerlaw, Monika Maripuri, Malarkodi Jebathilagam Samayamuthu, Brendin Beaulieu-Jones, Huma Baig, Sehi L’Yi, Yuk-Lam Ho, Michele Morris, Vidul Ayakulangara Panickan, Xuan Wang, Griffin Weber, Katherine P Liao, Shyam Visweswaran, Bryce Tan, William Yuan, Nils Gehlenborg, Sumitra Muralidhar, Rachel Ramoni, The Consortium for Clinical Characterization of COVID-19 by EHR (4CE), Isaac Kohane, Zongqi Xia, Kelly Cho, and Tianxi Cai. “Potential pitfalls in the use of real world data to study Long COVID” Nature Medicine, Accepted. (2023).