Profiling Covid-19 patients with respect to level of severity: an integrated statistical approach.
Autorzy:
Cugnata F; University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy. Scarale MG; University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy. De Lorenzo R; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.; Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy. Simonini M; Nephrology and Dialysis Unit, Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. Citterio L; Nephrology and Dialysis Unit, Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. Querini PR; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.; Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy. Castagna A; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.; Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy. Di Serio C; University Centre of Statistics in the Biomedical Sciences, Vita-Salute San Raffaele University, Milan, Italy. .; Biomedical Faculty, Università Della Svizzera Italiana, Lugano, Switzerland. . Lanzani C; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.; Nephrology and Dialysis Unit, Genomics of Renal Diseases and Hypertension Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Źródło:
Scientific reports [Sci Rep] 2023 Apr 04; Vol. 13 (1), pp. 5498. Date of Electronic Publication: 2023 Apr 04.
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