Marc A. Suchard

Marc Adam Suchard (born December 23, 1972, in California) is an American statistician. He is Professor in the Departments of Biomathematics and of Human Genetics in the David Geffen School of Medicine at UCLA and in the Department of Biostatistics in the UCLA Fielding School of Public Health at the University of California, Los Angeles. He was elected as a Fellow of the American Statistical Association in 2012, and he received the COPSS Presidents' Award in 2013. Provided by Wikipedia
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  1. 1
    Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction.

    Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction. by Daniel Magee, Marc A Suchard, Matthew Scotch

    Published 2017-02-01
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  2. 2
    Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models.

    Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models. by Yucai Shao, Andrew F Magee, Tetyana I Vasylyeva, Marc A Suchard

    Published 2024-03-01
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  3. 3
    Comparative safety and effectiveness of angiotensin converting enzyme inhibitors and thiazides and thiazide‐like diuretics under strict monotherapy

    Comparative safety and effectiveness of angiotensin converting enzyme inhibitors and thiazides and thiazide‐like diuretics under strict monotherapy by Tara V. Anand, Fan Bu, Martijn J. Schuemie, Marc A. Suchard, George Hripcsak

    Published 2024-04-01
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  4. 4
    Corrigendum: Vaccine safety surveillance using routinely collected healthcare data—An empirical evaluation of epidemiological designs

    Corrigendum: Vaccine safety surveillance using routinely collected healthcare data—An empirical evaluation of epidemiological designs by Martijn J. Schuemie, Martijn J. Schuemie, Martijn J. Schuemie, Faaizah Arshad, Faaizah Arshad, Nicole Pratt, Fredrik Nyberg, Thamir M Alshammari, George Hripcsak, George Hripcsak, Patrick Ryan, Patrick Ryan, Patrick Ryan, Daniel Prieto-Alhambra, Daniel Prieto-Alhambra, Lana Y. H. Lai, Xintong Li, Stephen Fortin, Evan Minty, Marc A. Suchard, Marc A. Suchard, Marc A. Suchard

    Published 2022-11-01
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  5. 5
    Vaccine Safety Surveillance Using Routinely Collected Healthcare Data—An Empirical Evaluation of Epidemiological Designs

    Vaccine Safety Surveillance Using Routinely Collected Healthcare Data—An Empirical Evaluation of Epidemiological Designs by Martijn J. Schuemie, Martijn J. Schuemie, Martijn J. Schuemie, Faaizah Arshad, Faaizah Arshad, Nicole Pratt, Fredrik Nyberg, Thamir M Alshammari, George Hripcsak, George Hripcsak, Patrick Ryan, Patrick Ryan, Patrick Ryan, Daniel Prieto-Alhambra, Daniel Prieto-Alhambra, Lana Y. H. Lai, Xintong Li, Stephen Fortin, Evan Minty, Marc A. Suchard, Marc A. Suchard, Marc A. Suchard

    Published 2022-07-01
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  6. 6
    Male-Female Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: A State-by-State Analysis

    Male-Female Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: A State-by-State Analysis by Jay J. Xu, Jarvis T. Chen, Thomas R. Belin, Ronald S. Brookmeyer, Marc A. Suchard, Christina M. Ramirez

    Published 2021-08-01
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  7. 7
    How fast are viruses spreading in the wild?

    How fast are viruses spreading in the wild? by Simon Dellicour, Paul Bastide, Pauline Rocu, Denis Fargette, Olivier J Hardy, Marc A Suchard, Stéphane Guindon, Philippe Lemey

    Published 2024-12-01
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  8. 8
    Standardized patient profile review using large language models for case adjudication in observational research

    Standardized patient profile review using large language models for case adjudication in observational research by Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan

    Published 2025-01-01
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  9. 9
    Accelerating Bayesian inference of dependency between mixed-type biological traits.

    Accelerating Bayesian inference of dependency between mixed-type biological traits. by Zhenyu Zhang, Akihiko Nishimura, Nídia S Trovão, Joshua L Cherry, Andrew J Holbrook, Xiang Ji, Philippe Lemey, Marc A Suchard

    Published 2023-08-01
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  10. 10
    In Search of Covariates of HIV-1 Subtype B Spread in the United States—A Cautionary Tale of Large-Scale Bayesian Phylogeography

    In Search of Covariates of HIV-1 Subtype B Spread in the United States—A Cautionary Tale of Large-Scale Bayesian Phylogeography by Samuel L. Hong, Simon Dellicour, Bram Vrancken, Marc A. Suchard, Michael T. Pyne, David R. Hillyard, Philippe Lemey, Guy Baele

    Published 2020-02-01
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  11. 11
    Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world comparative cardiovascular effectiveness and safety studies

    Large-scale evidence generation and evaluation across a network of databases for type 2 diabetes mellitus (LEGEND-T2DM): a protocol for a series of multinational, real-world compar... by Rohan Khera, Yuan Lu, Harlan M Krumholz, Martijn J Schuemie, Ruijun Chen, George Hripcsak, Marc A Suchard, Patrick B Ryan, Anna Ostropolets

    Published 2022-06-01
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  12. 12
    How Confident Are We About Observational Findings in Health Care: A Benchmark Study

    How Confident Are We About Observational Findings in Health Care: A Benchmark Study by Martijn J. Schuemie, M. Soledad Cepede, Marc A. Suchard, Jianxiao Yang, Yuxi Tian Alejandro Schuler, Patrick B. Ryan, David Madigan, George Hripcsak

    Published 2020-01-01
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  13. 13
    Dispersal history and bidirectional human-fish host switching of invasive, hypervirulent Streptococcus agalactiae sequence type 283.

    Dispersal history and bidirectional human-fish host switching of invasive, hypervirulent Streptococcus agalactiae sequence type 283. by Daniel Schar, Zhenyu Zhang, Joao Pires, Bram Vrancken, Marc A Suchard, Philippe Lemey, Margaret Ip, Marius Gilbert, Thomas Van Boeckel, Simon Dellicour

    Published 2023-01-01
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  14. 14
    An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials

    An explainable machine learning-based phenomapping strategy for adaptive predictive enrichment in randomized clinical trials by Evangelos K. Oikonomou, Phyllis M. Thangaraj, Deepak L. Bhatt, Joseph S. Ross, Lawrence H. Young, Harlan M. Krumholz, Marc A. Suchard, Rohan Khera

    Published 2023-11-01
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  15. 15
    A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm

    A topology-marginal composite likelihood via a generalized phylogenetic pruning algorithm by Seong-Hwan Jun, Hassan Nasif, Chris Jennings-Shaffer, David H Rich, Anna Kooperberg, Mathieu Fourment, Cheng Zhang, Marc A Suchard, Frederick A Matsen

    Published 2023-07-01
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  16. 16
    The genealogical population dynamics of HIV-1 in a large transmission chain: bridging within and among host evolutionary rates.

    The genealogical population dynamics of HIV-1 in a large transmission chain: bridging within and among host evolutionary rates. by Bram Vrancken, Andrew Rambaut, Marc A Suchard, Alexei Drummond, Guy Baele, Inge Derdelinckx, Eric Van Wijngaerden, Anne-Mieke Vandamme, Kristel Van Laethem, Philippe Lemey

    Published 2014-04-01
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  17. 17
    Finding high posterior density phylogenies by systematically extending a directed acyclic graph

    Finding high posterior density phylogenies by systematically extending a directed acyclic graph by Chris Jennings-Shaffer, David H. Rich, Matthew Macaulay, Michael D. Karcher, Tanvi Ganapathy, Shosuke Kiami, Anna Kooperberg, Cheng Zhang, Marc A. Suchard, Frederick A. Matsen

    Published 2025-02-01
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  18. 18
    Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model.

    Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model. by Gregory L Watson, Di Xiong, Lu Zhang, Joseph A Zoller, John Shamshoian, Phillip Sundin, Teresa Bufford, Anne W Rimoin, Marc A Suchard, Christina M Ramirez

    Published 2021-03-01
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  19. 19
    Integrating influenza antigenic dynamics with molecular evolution

    Integrating influenza antigenic dynamics with molecular evolution by Trevor Bedford, Marc A Suchard, Philippe Lemey, Gytis Dudas, Victoria Gregory, Alan J Hay, John W McCauley, Colin A Russell, Derek J Smith, Andrew Rambaut

    Published 2014-02-01
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  20. 20
    Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2.

    Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2. by Philippe Lemey, Andrew Rambaut, Trevor Bedford, Nuno Faria, Filip Bielejec, Guy Baele, Colin A Russell, Derek J Smith, Oliver G Pybus, Dirk Brockmann, Marc A Suchard

    Published 2014-02-01
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