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Dr An Duy Tran is a Senior Research Fellow in Health Economics at the Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne. His current research focuses on economic evaluations of health care programs and development of outcomes simulation models for chronic diseases including diabetes, cardiovascular disease, chronic kidney disease and rheumatic diseases.
He is Head of the Health Economics Node within the Methods and Implementation Support for Clinical and Health Research (MISCH) Hub at the University of Melbourne, which provides high quality clinical and health research support across the Faculty of Medicine, Dentistry and Health Sciences and affiliated hospitals and institutes.
Dr Tran has extensive experience in the use of advanced statistical methods for costs and outcomes analyses, and in development of health economic patient-level simulation models. He led the development of the world’s most comprehensive simulation model to estimate lifetime health outcomes in people with type 1 diabetes. He is also the developer of a number of clinical decision support tools, including the first interactive web application for estimating risks of complications and life expectancy in people with type 1 diabetes, and the first Android and iOS mobile apps for cardiovascular risk assessment in Indigenous Australians, which were based on the first prediction models of their kind. His creative ideas in translating research findings into practice were awarded by the Melbourne School of Population and Global Health with a Research Achievement Award for Technical Innovation in 2020.
Dr. Tran has been a key member in consulting projects contracted with the Australian Federal Government, with recent projects involving the use of a computer model to evaluate the cost-utility of emerging therapies for type 2 diabetes in the Australian setting, and systematic reviews of studies on cost-effectiveness of interventions for type 2 diabetes. He has been a successful co-applicant in research grants (NHMRC and MRFF) worth over $6 million. Before joining the University of Melbourne in 2016, he was a Post-doctoral Researcher at Maastricht University and Assistant Professor at University Medical Center Utrecht in the Netherlands.
He is Head of the Health Economics Node within the Methods and Implementation Support for Clinical and Health Research (MISCH) Hub at the University of Melbourne, which provides high quality clinical and health research support across the Faculty of Medicine, Dentistry and Health Sciences and affiliated hospitals and institutes.
Dr Tran has extensive experience in the use of advanced statistical methods for costs and outcomes analyses, and in development of health economic patient-level simulation models. He led the development of the world’s most comprehensive simulation model to estimate lifetime health outcomes in people with type 1 diabetes. He is also the developer of a number of clinical decision support tools, including the first interactive web application for estimating risks of complications and life expectancy in people with type 1 diabetes, and the first Android and iOS mobile apps for cardiovascular risk assessment in Indigenous Australians, which were based on the first prediction models of their kind. His creative ideas in translating research findings into practice were awarded by the Melbourne School of Population and Global Health with a Research Achievement Award for Technical Innovation in 2020.
Dr. Tran has been a key member in consulting projects contracted with the Australian Federal Government, with recent projects involving the use of a computer model to evaluate the cost-utility of emerging therapies for type 2 diabetes in the Australian setting, and systematic reviews of studies on cost-effectiveness of interventions for type 2 diabetes. He has been a successful co-applicant in research grants (NHMRC and MRFF) worth over $6 million. Before joining the University of Melbourne in 2016, he was a Post-doctoral Researcher at Maastricht University and Assistant Professor at University Medical Center Utrecht in the Netherlands.
研究兴趣
论文共 54 篇作者统计合作学者相似作者
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Diabetic medicine a journal of the British Diabetic Associationno. 10 (2024): e15418-e15418
Haustine Patt Panganiban, Chinh Dam Nguyen, Yasmin Ali Abdelhamid,Melissa Ankravs, Emily Karahalios,Christopher Macisaac,Tom Rechnitzer,Lucy Sharrock,An Tran-Duy,Timothy Fazio,Adam M. Deane
Studies in health technology and informatics (2024)
James Altunkaya, Xinyu Li,Amanda Adler,Talitha Feenstra,Adam Fridhammar,Mi Jun Keng,Mark Lamotte,Phil McEwan,Andreas Nilsson, Andrew J. Palmer,Jianchao Quan, Harry Smolen,An Tran-Duy,William Valentine, Michael Willis,Jose Leal,Philip Clarke
VALUE IN HEALTHno. 10 (2024): 1338-1347
James Altunkaya, Xinyu Li,Amanda Adler,Talitha Feenstra,Adam Fridhammar,Mi Jun Keng,Mark Lamotte,Phil McEwan,Andreas Nilsson, Andrew J. Palmer,Jianchao Quan, Harry Smolen,An Tran-Duy,William Valentine, Michael Willis,José Leal,Philip Clarke
Value in Health (2024)
Chinh D. Nguyen, Haustine P. Panganiban,Timothy Fazio,Amalia Karahalios,Melissa J. Ankravs,Christopher M. Macisaac,Thomas Rechnitzer, Lucy Arno,An Tran-Duy,Scott Mcalister,Yasmine Ali Abdelhamid,Adam M. Deane
CRITICAL CARE MEDICINEno. 7 (2024): 1054-1064
Ting Zhao,Michelle Tew,Talitha Feenstra,Pieter van Baal,Michael Willis,William J. Valentine,Philip M. Clarke,Barnaby Hunt,James Altunkaya,An Tran-Duy,Richard F. Pollock,Samuel J. P. Malkin,Andreas Nilsson,Phil McEwan,Volker Foos,Jose Leal,Elbert S. Huang,Neda Laiteerapong,Mark Lamotte, Harry Smolen,Jianchao Quan, Luís Martins,Mafalda Ramos, Andrew J. Palmer
Applied Health Economics and Health Policypp.1-9, (2024)
Value in Healthno. 6 (2024): S7-S7
Mariam Hachem,Tracey Hearn,Ray Kelly,Audrey Eer, Belinda Moore,Christine Sommerville,Sharon Atkinson-Briggs,Stephen Twigg, Meagan Freund,David O’Neal,David Story,Alex Brown,Anna McLean,Ashim Sinha,John Furler, Richard O’Brien,An Tran-Duy,Philip Clarke,Sabine Braat,Digsu N. Koye,Sandra Eades,Luke Burchill,Elif Ekinci
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作者统计
#Papers: 56
#Citation: 594
H-Index: 13
G-Index: 23
Sociability: 6
Diversity: 3
Activity: 16
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