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职业迁徙
个人简介
His methodological research centers around developing Bayesian nonparametric and machine learning methods for making causal inferences with non-randomized, observational data. Broadly, he is passionate about blending efficient computation, rigorous causal reasoning, and flexible modeling to build practical data science tools. These methods have contributed to applciations and collaborative work in areas ranging from health policy evaluation and health economics to oncology research. More information about Arman's research program can be found on his research website.
研究兴趣
论文共 23 篇作者统计合作学者相似作者
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Yun Li,Daniel T. T. Vader,Arman Oganisian, Craig L. K. Boge,Molly Hayes,Anders Newman, Tim Olson,Jason Freedman,Caitlin W. W. Elgarten,Brian T. T. Fisher
PEDIATRIC TRANSPLANTATIONno. 1 (2024): e14526-e14526
BIOSTATISTICS (2024)
CoRR (2023)
Diagnostic and Prognostic Researchno. 1 (2022): 1-5
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