269 research outputs found

    Dr Lyle Gurrin, Professor of Biostatistics, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health

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    The SoTEL Showcase series features four case studies of Technology Enhanced Learning from the University of Melbourne academic community. In this episode Professor Lyle Gurrin describes the redesign of a course on Biostatistics, incorporating principles from the GCUT #EDUC90970 course

    Gurrin, Lyle

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    Strengthening Medicare: will increasing the bulk-billing rate and supply of general practitioners increase access to Medicare-funded general practitioner services and does rurality matter?

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    Recent increases in the bulk-billing rate have been taken as an indication that the federal government\u27s Strengthening Medicare initiative, and particularly the bulk-billing incentives, are working. Given the enduring geographic differences in the supply of general practitioners, Susan E. Day, Katrina Alford, David Dunt, Stuart Peacock, Lyle Gurrin and Don Voaklander reconsider the impact that this increase in the provision of \u27free care\u27 will have on access to Medicare-funded GP services in rural and urban areas of Australia

    Training a new generation of biostatisticians: A successful consortium model

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    In response to the worldwide shortage of biostatisticians, Australia has established a national consortium of eight universities to develop and deliver a Masters program in biostatistics. This article describes our successful innovative multi-institutional training model, which may be of value to other countries. We first present the issues confronting the future of biostatistics in Australia, then relate our experience in establishing a new national consortium-based Masters program, and finally explore the extent to which our initiatives have addressed the current challenges of biostatistics workforce shortages.Judy M Simpson, Philip Ryan, John B Carlin, Lyle Gurrin, and Ian Marschne

    The New Normal Webinar Episode 9: Lost in Space: finding our way in virtual and physical learning environments

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    Episode 9 of The New Normal Webinar Series: Lost in Space: finding our way in virtual and physical learning environments. Featuring; Brian Martin, Mitch Buzza, Ben Cleveland, Thomas Cochrane, Michael Cowling, Chris Deneen, Lyle Gurrin, Siew-Fang Law, Marian Mahat, Catherine Manning

    Cohort Profile: Melbourne Atopy Cohort study (MACS)

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    Advance Access Publication Date: 21 April 2016Adrian J Lowe, Caroline J Lodge, Katrina J Allen, Michael J Abramson, Melanie C Matheson, Paul S Thomas, Christopher A Barton, Catherine M Bennett, Bircan Erbas, Cecilie Svanes, Mathias Wjst, Francisco G, omez Real, Jennifer L Perret, Melissa A Russell, Melissa C Southey, John L Hopper, Lyle C Gurrin, Christine J Axelrad, David J Hill and Shyamali C Dharmag

    BOOK REVIEWS: 6

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    Assessing the scientific integrity of the collected work of one author or author group

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    Objectives: No published methods for research integrity review include both statistical techniques applied to groups of randomized trials and individual assessment of papers. We propose a method based on practical experience of investigating data integrity across the collected papers of an author or author group. Study Design and Setting: We report our approach to investigating the collected papers of an author or author group suspected of academic misconduct. Results: In the investigation of the work of an author or author group, we recommend a systematic search for the work of the involved authors in PubMed, Google Scholar, and the Retraction Watch database, as well as a search of trial registries for unpublished clinical trials. Summary information from studies should be tabulated to assess consistency between study registration, execution, and publication. Each paper should be investigated for unfeasible features of the governance, methodology, execution, results, and reporting of the study. Pairwise comparison of baseline and outcome tables between papers may reveal data duplication or unfeasibly large differences between baseline characteristics in similar studies. Assessment of baseline characteristics from multiple randomized trials using Carlisle’s method can determine whether the data are consistent with a properly executed randomization process, as can checking whether reported baseline characteristics follow expected patterns for random variables such as Benford’s law. If serious concerns are raised, a more thorough investigation should be performed by journals, publishers, and institutions. Conclusion: These methods provide a systematic and reproducible way to assess the collected work of an author or group of authors.Jeremy Nielsena, Esmée M. Bordewijka, Lyle C. Gurrinc, Siddharth Shivanthad, Madeline Flanagana, Sue Liud, May M. Linna, Kelly X. Zhoua, Rik van Eekelenb, Nicholas J.L. Browne, Jim Thorntonf, Ben W. Mo

    Concerns about data integrity across 263 papers by one author

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    OBJECTIVE: Comprehensive investigation of published work by authors suspected of academic misconduct can reveal further concerns. We aimed to test for data integrity concerns in papers published by an author with eight retracted articles. STUDY DESIGN: We investigated the integrity of all papers reporting on prospective clinical studies by this author. We assessed the feasibility of study methods, baseline characteristics, and outcomes. We plotted the author's clinical research activity over time. We conducted pairwise comparisons of text, tables, and figures to identify duplicate publications, and checked for consistency between conference abstracts, interim analyses, trial registrations, and final papers. Where indicated, we recalculated p-values from the reported summary statistics. RESULTS: We identified 263 papers claiming to have enrolled 74,667 participants between January 2009 and July 2022, 190 (72 %) of which reported on studies that recruited from the Assiut Women's Health Hospital in Assiut, Egypt. The number of active studies per month was greatest between 2016 and 2019, with 88 ongoing studies in May 2017. We found evidence of data integrity concerns in 130 (49 %) papers, 43 (33 %) of which contained concerns sufficient to suggest that they could not be based on data reliably collected from human participants. CONCLUSION: Our investigation finds evidence of widespread integrity concerns in the collected work of one author. We recommend that the involved journals collaborate in a formal investigation
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