Richa Sharma: Evaluating Heterogeneity in Anticoagulation Treatment Effects in Cryptogenic Stroke
Richa Sharma, Associate Professor of Neurology at Yale School of Medicine, shared a post on X about a recent article she and her colleagues co-authored, published in Annals of Clinical and Translational Neurology, adding:
“Excited to share our article below.
We apply a causal random forest machine learning model to the CASPR registry of patients with cryptogenic stroke to evaluate heterogeneity in anticoagulation treatment effect.”
Title: Anticoagulation Treatment Response Among Phenotypic ESUS Clusters: Evidence From CASPR
Authors: Elena Badillo Goicoechea, Patrick Ellsworth, James E. Siegler, James R. Brorson, Christina M. Lineback, Frank G. Conyers, Deborah Kerrigan, Kelsey Eklund, Shadi Yaghi, Farid Khasiyev, Emiliya Melkumova, Collin J. Culbertson, Marissa D’Souza, Dinesh V. Jillella, Patrick Glover, Hassan Aboul-Nour, Fadi Nahab, Mahan Shahrivari, Simona Nedelcu, David S. Liebeskind, Matthew M. Smith, Aaron Rothstein, Anna Bowman, Alicia Zha, Narendra Kala, Ahmad Abu Qdais, Sami Al Kasab, Mudassir Farooqui, Diana Rojas-Soto, Yasmin Aziz, Franziska Herpich, Jean-Philippe Daniel, Sean L. Thompson, Vivek Patel, Thanh N. Nguyen, Siddharth Sehgal, Wenzheng Yu, Wayneho Kam, Russel Van Coevering, Oana M. Dumitrascu, Muhammad Alvi, Balaji Krishnaiah, Setareh Salehi Omran, Guillermo Linares, Eesha Singh, Hamid Ali, Mary Penckofer, Jesse M. Thon, Shani Mannion, Dalia Chahien, Lucia Chen, Fawad Talat, Mehdi Abbasi, Richa Sharma
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