Author

Kevin B Mahoney

University of Pennsylvania Health SystemORCID 0000-0001-9930-2575Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

C Jason LiangiD· 1 shared Chongliang LuoiD· 1 shared Christopher B. ForrestiD· 1 shared Howard H. ChangiD· 1 shared Hua XuiD· 1 shared Jason H. MooreiD· 1 shared Jesse A. BerliniD· 1 shared Jiang BianiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

C Jason LiangORCID

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1 paper

Recent·Most cited

Learning from local to global - an efficient distributed algorithm for modeling time-to-event data

Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B Mahoney, Yong Chen

The paper introduces ODAC, a privacy-preserving distributed algorithm for multi-center Cox proportional hazard models, showing it matches pooled estimates and outperforms meta-analysis for rare events.

Journal of the American Medical Informatics Association · Mar 28, 2020Peer-reviewedBioinformatics