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  1. Article ; Online: David Nott: drawn to the sound of gunfire.

    Nott, David

    BMJ (Clinical research ed.)

    2014  Volume 348, Page(s) g2016

    MeSH term(s) History, 20th Century ; History, 21st Century ; Military Medicine/history ; Traumatology/history ; United Kingdom
    Language English
    Publishing date 2014-03-12
    Publishing country England
    Document type Autobiography ; Historical Article ; Interview ; Portraits
    ZDB-ID 1362901-3
    ISSN 1756-1833 ; 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    ISSN (online) 1756-1833
    ISSN 0959-8154 ; 0959-8146 ; 0959-8138 ; 0959-535X ; 1759-2151
    DOI 10.1136/bmj.g2016
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book: Fundamentals of frontline surgery

    Khan, Mansoor / Nott, David

    2021  

    Author's details edited by Professor Mansoor Khan and David Nott
    Keywords Surgical Procedures, Operative ; Wounds and Injuries / surgery ; Armed Conflicts ; Disasters ; Developing Countries ; Health Resources
    Language English
    Size xvii, 242 Seiten, Illustrationen
    Edition First edition
    Publisher CRC Press
    Publishing place Boca Raton
    Publishing country United States
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT020876531
    ISBN 978-0-367-43559-2 ; 978-0-367-43749-7 ; 9781003005469 ; 0-367-43559-4 ; 0-367-43749-X ; 1003005462
    Database Catalogue ZB MED Medicine, Health

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  3. Book: Disaster medicine

    MacGarty, David / Nott, David

    a case based approach

    2013  

    Author's details David MacGarty ; David Nott ed
    Keywords Disaster Medicine / methods ; Wounds and Injuries / surgery ; Communicable Disease Control / methods ; Relief Work / organization & administration ; Tropical Medicine / methods ; Public Health / methods
    Language English
    Size XVII, 390 S. : Ill., graph. Darst., Kt.
    Publisher Springer
    Publishing place London u.a.
    Publishing country Great Britain
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT018146585
    ISBN 978-1-4471-5228-6 ; 1-4471-5228-X ; 9781447144236 ; 1447144236
    Database Catalogue ZB MED Medicine, Health

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  4. Article ; Online: The COVID-19 response for vulnerable people in places affected by conflict and humanitarian crises.

    Nott, David

    Lancet (London, England)

    2020  Volume 395, Issue 10236, Page(s) 1532–1533

    MeSH term(s) Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; Relief Work ; SARS-CoV-2 ; Vulnerable Populations
    Keywords covid19
    Language English
    Publishing date 2020-05-04
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(20)31036-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Re: Could it mean in NZ?

    Nott, David

    ANZ journal of surgery

    2019  Volume 89, Issue 1-2, Page(s) 135

    MeSH term(s) Learning
    Language English
    Publishing date 2019-04-15
    Publishing country Australia
    Document type Letter ; Comment
    ZDB-ID 2050749-5
    ISSN 1445-2197 ; 1445-1433 ; 0004-8682
    ISSN (online) 1445-2197
    ISSN 1445-1433 ; 0004-8682
    DOI 10.1111/ans.15013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The COVID-19 response for vulnerable people in places affected by conflict and humanitarian crises

    Nott, David

    The Lancet

    2020  Volume 395, Issue 10236, Page(s) 1532–1533

    Keywords General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/s0140-6736(20)31036-9
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: War surgery and transfusion in makeshift hospitals in beleaguered cities.

    Naumann, David N / Robinson, Michael W / Bowley, Douglas M / Nott, David

    Lancet (London, England)

    2022  Volume 399, Issue 10332, Page(s) 1299–1301

    MeSH term(s) Blood Transfusion ; Cities ; Hospitals ; Humans
    Language English
    Publishing date 2022-03-17
    Publishing country England
    Document type Letter
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(22)00525-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Misspecification-robust Sequential Neural Likelihood

    Kelly, Ryan P. / Nott, David J. / Frazier, David T. / Warne, David J. / Drovandi, Chris

    2023  

    Abstract: Simulation-based inference (SBI) techniques are now an essential tool for the parameter estimation of mechanistic and simulatable models with intractable likelihoods. Statistical approaches to SBI such as approximate Bayesian computation and Bayesian ... ...

    Abstract Simulation-based inference (SBI) techniques are now an essential tool for the parameter estimation of mechanistic and simulatable models with intractable likelihoods. Statistical approaches to SBI such as approximate Bayesian computation and Bayesian synthetic likelihood have been well studied in the well specified and misspecified settings. However, most implementations are inefficient in that many model simulations are wasted. Neural approaches such as sequential neural likelihood (SNL) have been developed that exploit all model simulations to build a surrogate of the likelihood function. However, SNL approaches have been shown to perform poorly under model misspecification. In this paper, we develop a new method for SNL that is robust to model misspecification and can identify areas where the model is deficient. We demonstrate the usefulness of the new approach on several illustrative examples.

    Comment: 21 pages, 5 figures
    Keywords Statistics - Methodology ; Computer Science - Machine Learning ; Statistics - Computation ; Statistics - Machine Learning
    Subject code 310
    Publishing date 2023-01-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families

    Schwienhorst, Benedikt Lütke / Kock, Lucas / Nott, David J. / Klein, Nadja

    2023  

    Abstract: Even though dropout is a popular regularization technique, its theoretical properties are not fully understood. In this paper we study dropout regularization in extended generalized linear models based on double exponential families, for which the ... ...

    Abstract Even though dropout is a popular regularization technique, its theoretical properties are not fully understood. In this paper we study dropout regularization in extended generalized linear models based on double exponential families, for which the dispersion parameter can vary with the features. A theoretical analysis shows that dropout regularization prefers rare but important features in both the mean and dispersion, generalizing an earlier result for conventional generalized linear models. Training is performed using stochastic gradient descent with adaptive learning rate. To illustrate, we apply dropout to adaptive smoothing with B-splines, where both the mean and dispersion parameters are modelled flexibly. The important B-spline basis functions can be thought of as rare features, and we confirm in experiments that dropout is an effective form of regularization for mean and dispersion parameters that improves on a penalized maximum likelihood approach with an explicit smoothness penalty.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning
    Subject code 519
    Publishing date 2023-05-11
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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