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  1. Book: Analysing seasonal health data

    Barnett, Adrian G. / Dobson, Annette J.

    (Statistics for biology and health)

    2010  

    Author's details Adrian G. Barnett ; Annette J. Dobson
    Series title Statistics for biology and health
    Keywords Krankheit ; Saisonale Komponente ; Epidemiologie ; Datenanalyse ; Medizinische Statistik
    Subject Statistische Auswertung ; Datenauswertung ; Statistische Datenanalyse ; Data analysis ; Data-analysis ; Krankheitsverbreitung ; Saisonkomponente ; Erkrankung ; Krankheitszustand ; Krankheiten ; Morbus ; Nosos ; Pathos
    Language English
    Size XIII, 164 S. : zahlr. graph. Darst.
    Publisher Springer
    Publishing place Heidelberg u.a.
    Publishing country Germany
    Document type Book
    Note Hier auch später erschienene Softcover-Ausg.
    HBZ-ID HT016144502
    ISBN 978-3-642-10747-4 ; 978-3-642-26246-3 ; 9783642107481 ; 3-642-10747-8 ; 3-642-26246-5 ; 3642107486
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Missing the point: are journals using the ideal number of decimal places?

    Barnett, Adrian G

    F1000Research

    2018  Volume 7, Page(s) 450

    Abstract: ... ...

    Abstract Background
    Language English
    Publishing date 2018-04-11
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.14488.3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Gestational diabetes mellitus screening and diagnosis criteria before and during the COVID-19 pandemic: a retrospective pre-post study.

    de Jersey, Susan J / d'Emden, Michael C / Barnett, Adrian G / McIntyre, H David

    The Medical journal of Australia

    2024  Volume 220, Issue 7, Page(s) 387

    MeSH term(s) Pregnancy ; Female ; Humans ; Diabetes, Gestational/diagnosis ; Diabetes, Gestational/epidemiology ; Retrospective Studies ; Pandemics ; COVID-19 ; Risk Factors ; Mass Screening ; Pregnancy Outcome ; COVID-19 Testing
    Language English
    Publishing date 2024-03-11
    Publishing country Australia
    Document type Letter
    ZDB-ID 186082-3
    ISSN 1326-5377 ; 0025-729X
    ISSN (online) 1326-5377
    ISSN 0025-729X
    DOI 10.5694/mja2.52253
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Is requiring Research Integrity Advisors a useful policy for improving research integrity? A census of advisors in Australia.

    Barnett, Adrian G / Borg, David N / Glasziou, Paul / Beckett, Emma

    Accountability in research

    2023  , Page(s) 1–19

    Abstract: Research Integrity Advisors are used in Australia to provide impartial guidance to researchers who have questions about any aspect of responsible research practice. Every Australian institution conducting research must provide access to trained advisors. ...

    Abstract Research Integrity Advisors are used in Australia to provide impartial guidance to researchers who have questions about any aspect of responsible research practice. Every Australian institution conducting research must provide access to trained advisors. This national policy could be an important part of creating a safe environment for discussing research integrity issues and thus resolving issues. We conducted the first formal study of advisors, using a census of every Australian advisor to discover their workload and attitudes to their role. We estimated there are 739 advisors nationally. We received responses to our questions from 192. Most advisors had a very light workload, with an median of just 0.5 days per month. Thirteen percent of advisors had not received any training, and some advisors only discovered they were an advisor after our approach. Most advisors were positive about their ability to help colleagues deal with integrity issues. The main desired changes were for greater advertising of their role and a desire to promote good practice rather than just supporting potential issues. Advisors might be a useful policy for supporting research integrity, but some advisors need better institutional support in terms of training and raising awareness.
    Language English
    Publishing date 2023-07-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2069334-5
    ISSN 1545-5815 ; 0898-9621
    ISSN (online) 1545-5815
    ISSN 0898-9621
    DOI 10.1080/08989621.2023.2239532
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Funding by Lottery: Political Problems and Research Opportunities.

    Barnett, Adrian G

    mBio

    2016  Volume 7, Issue 4

    Language English
    Publishing date 2016-08-30
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2557172-2
    ISSN 2150-7511 ; 2161-2129
    ISSN (online) 2150-7511
    ISSN 2161-2129
    DOI 10.1128/mBio.01369-16
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Timing of submissions to The Journal of Paediatrics and Child Health: Associations with the COVID-19 pandemic and editorial decisions.

    McGee, Richard G / Graves, Lara E / Barnett, Adrian

    Journal of paediatrics and child health

    2022  Volume 59, Issue 1, Page(s) 89–94

    Abstract: Aim: To determine if the timing of manuscript submissions to The Journal of Paediatrics and Child Health (JPCH) changed following the onset of the COVID-19 pandemic and to determine if the timing of manuscript submissions influenced editorial decisions.! ...

    Abstract Aim: To determine if the timing of manuscript submissions to The Journal of Paediatrics and Child Health (JPCH) changed following the onset of the COVID-19 pandemic and to determine if the timing of manuscript submissions influenced editorial decisions.
    Methods: A retrospective observational study of submissions to JPCH from 1 January 2015 to 1 August 2022 was performed. Regression models were used to explore the change over time. Editorial decisions were examined using a multinomial regression model with the three-category ordinal outcome of reject, revise and accept. All statistical models were fitted using a Bayesian approach and show 95% credible intervals (CI).
    Results: The analyses included 11 499 manuscript submissions between 2015 and 2022. The mean number of manuscript submissions increased by 17 papers per month (CI 15-19), with a larger 4-month long increase after the COVID-19 pandemic was declared of 86 submissions per month (CI 67-103). There was no clear effect of the pandemic on weekend submissions, mean difference in probability 0.003 (CI -0.021 to 0.026). Throughout the study period, the peak submission time was later in the day and was shifted +37 min later post-March 2020 (CI +22 to +52 min). Throughout the study period, submissions out-of-hours and on weekends were less likely to get an editorial decision of 'accept' or 'revise': odds ratio weekend versus weekday 0.87 (CI 0.78-0.97).
    Conclusion: The COVID-19 pandemic had a limited effect on the timing of manuscript submissions to JPCH. However, the timing of manuscript submission impacted the likelihood of a more positive editorial decision. While the time of manuscript submission is only one part of the research process, it is postulated that it may be associated with research quality.
    MeSH term(s) Humans ; Child ; Publishing ; Peer Review, Research ; Pandemics ; Bayes Theorem ; Child Health ; COVID-19/epidemiology
    Language English
    Publishing date 2022-10-07
    Publishing country Australia
    Document type Observational Study ; Journal Article
    ZDB-ID 1024476-1
    ISSN 1440-1754 ; 1034-4810
    ISSN (online) 1440-1754
    ISSN 1034-4810
    DOI 10.1111/jpc.16242
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Turning the tables: A university league-table based on quality not quantity.

    Barnett, Adrian G / Moher, David

    F1000Research

    2019  Volume 8, Page(s) 583

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Biomedical Research ; Cross-Sectional Studies ; Humans ; Publications ; Publishing ; Universities
    Language English
    Publishing date 2019-04-29
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2699932-8
    ISSN 2046-1402 ; 2046-1402
    ISSN (online) 2046-1402
    ISSN 2046-1402
    DOI 10.12688/f1000research.18453.2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Did awarding badges increase data sharing in

    Rowhani-Farid, Anisa / Aldcroft, Adrian / Barnett, Adrian G

    Royal Society open science

    2020  Volume 7, Issue 3, Page(s) 191818

    Abstract: Sharing data and code are important components of reproducible research. Data sharing in research is widely discussed in the literature; however, there are no well-established evidence-based incentives that reward data sharing, nor randomized studies ... ...

    Abstract Sharing data and code are important components of reproducible research. Data sharing in research is widely discussed in the literature; however, there are no well-established evidence-based incentives that reward data sharing, nor randomized studies that demonstrate the effectiveness of data sharing policies at increasing data sharing. A simple incentive, such as an Open Data Badge, might provide the change needed to increase data sharing in health and medical research. This study was a parallel group randomized controlled trial (protocol registration: doi:10.17605/OSF.IO/PXWZQ) with two groups, control and intervention, with 80 research articles published in
    Language English
    Publishing date 2020-03-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2787755-3
    ISSN 2054-5703
    ISSN 2054-5703
    DOI 10.1098/rsos.191818
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Turning temperature measures outside-in.

    Barnett, Adrian G

    Epidemiology (Cambridge, Mass.)

    2015  Volume 26, Issue 1, Page(s) e11–2

    MeSH term(s) Australia/epidemiology ; Cardiovascular Diseases/epidemiology ; Humans ; Humidity ; Risk Factors ; Temperature ; Thermometry/methods ; Weather
    Language English
    Publishing date 2015-01
    Publishing country United States
    Document type Letter
    ZDB-ID 1053263-8
    ISSN 1531-5487 ; 1044-3983
    ISSN (online) 1531-5487
    ISSN 1044-3983
    DOI 10.1097/EDE.0000000000000208
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Did awarding badges increase data sharing in BMJ Open? A randomized controlled trial

    Anisa Rowhani-Farid / Adrian Aldcroft / Adrian G. Barnett

    Royal Society Open Science, Vol 7, Iss

    2020  Volume 3

    Abstract: Sharing data and code are important components of reproducible research. Data sharing in research is widely discussed in the literature; however, there are no well-established evidence-based incentives that reward data sharing, nor randomized studies ... ...

    Abstract Sharing data and code are important components of reproducible research. Data sharing in research is widely discussed in the literature; however, there are no well-established evidence-based incentives that reward data sharing, nor randomized studies that demonstrate the effectiveness of data sharing policies at increasing data sharing. A simple incentive, such as an Open Data Badge, might provide the change needed to increase data sharing in health and medical research. This study was a parallel group randomized controlled trial (protocol registration: doi:10.17605/OSF.IO/PXWZQ) with two groups, control and intervention, with 80 research articles published in BMJ Open per group, with a total of 160 research articles. The intervention group received an email offer for an Open Data Badge if they shared their data along with their final publication and the control group received an email with no offer of a badge if they shared their data with their final publication. The primary outcome was the data sharing rate. Badges did not noticeably motivate researchers who published in BMJ Open to share their data; the odds of awarding badges were nearly equal in the intervention and control groups (odds ratio = 0.9, 95% CI [0.1, 9.0]). Data sharing rates were low in both groups, with just two datasets shared in each of the intervention and control groups. The global movement towards open science has made significant gains with the development of numerous data sharing policies and tools. What remains to be established is an effective incentive that motivates researchers to take up such tools to share their data.
    Keywords incentives ; data sharing ; reproducibility ; policy ; open science ; randomized controlled trial ; Science ; Q
    Subject code 306
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher The Royal Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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