Topics / Propensity Score Matching
Propensity Score Matching
Fillmore has utilized propensity score matching to minimize selection bias and control for confounding variables in retrospective cohort studies. Through this methodology, he has evaluated the comparative effectiveness of therapeutic interventions, including the neuroprotective potential of tumor necrosis factor inhibitors in patients with rheumatoid arthritis and the survival advantages of specific anticoagulant regimens in cancer-associated venous thromboembolism. His work demonstrates the utility of this approach in deriving robust clinical insights from large healthcare databases.
Publications (4)
2026
2023
Clark DuMontier†, Jennifer La†, John Bihn, June Corrigan, Cenk Yildirim, Mayuri Dharne, Hamza Hassan, Sarvari Yellapragada, Gregory A. Abel, J. Michael Gaziano, Nhan V. Do, Mary Brophy, Dae H. Kim, Nikhil C. Munshi, Nathanael R. Fillmore‡, Jane A. Driver‡
Blood Advances7(20), 6275-6284
2023
Ang Li, Sarah B. May, Jennifer La, Kylee L. Martens, Christopher I. Amos, Christopher R. Flowers, Nhan V. Do, Mary T. Brophy, Vipul Chitalia, Katya Ravid, John Michael Gaziano, Nathanael R. Fillmore
American Journal of Hematology98(8), 1214-1222
2022
Chunlei Zheng†, Nathanael R. Fillmore†, Jaime Ramos-Cejudo, Mary Brophy, Ricardo Osorio, Mark E. Gurney, Wei Qiao Qiu, Rhoda Au, George Perry, Maureen Dubreuil, Shu G. Chen, Xin Qi, Pamela B. Davis, Nhan Do, Rong Xu
Alzheimer's & Dementia18(6), 1248-1259