Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study

Azza Shoaibi (Lead / Corresponding author), Gowtham A. Rao, Erica A. Voss, Anna Ostropolets, Miguel Angel Mayer, Juan Manuel Ramírez-Anguita, Filip Maljković, Biljana Carević, Scott Horban, Daniel R. Morales, Talita Duarte-Salles, Clement Fraboulet, Tanguy Le Carrour, Spiros Denaxas, Vaclav Papez, Luis H. John, Peter R. Rijneek, Evan Minty, Thamir M. Alshammari, Rupa MakadiaClair Blacketer, Frank DeFalco, Anthony G. Sena, Marc A. Suchard, Daniel Prieto-Alhambra, Patrick B. Ryan

Research output: Contribution to journal › Article › peer-review

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Finished
Approaches for Creating Clinical Evidence of Treatment Effects in Routine Populations Excluded from Trials (ACCEPT) (Clinical Research Career Development Fellowship)
Morales, D. (Investigator)
1/12/19 → 31/05/23
Project: Research

Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study

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Approaches for Creating Clinical Evidence of Treatment Effects in Routine Populations Excluded from Trials (ACCEPT) (Clinical Research Career Development Fellowship)