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X-WR-CALNAME:IMS Epidemiology
X-ORIGINAL-URL:https://www.epi.ims.cam.ac.uk
X-WR-CALDESC:Events for IMS Epidemiology
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DTSTART:20200101T000000
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DTSTART;TZID=UTC:20210505T110000
DTEND;TZID=UTC:20210505T120000
DTSTAMP:20210507T154905Z
CREATED:20210318T150414Z
LAST-MODIFIED:20210507T154905Z
UID:19175-1620212400-1620216000@www.epi.ims.cam.ac.uk
SUMMARY:Seminar - Integrating diverse data sets to improve causal inference
DESCRIPTION:All are invited to the MRC Epidemiology Seminar: \nIntegrating diverse data sets to improve causal inference\nProfessor Judith Green\, University of Exeter.\nWatch a recording of this seminar and download the slides as a PDF. \nAbout this talk\nEvaluating the impact of interventions on public health typically requires diverse data sets\, which can be challenging to integrate in analysis.  This seminar focuses on experiences of integrating epidemiological and ethnographic analysis to strengthen causal inferences\, drawing on two studies of natural experiments (evaluations of the public health impacts of free bus travel and reduced street lighting at night) and a recent systematic review of Qualitative Comparative Analysis in public health. \nBetter integration may require a broader conceptualisation of causal relationships\, attention to the timing of integration within the lifetime of a project\, and disciplinary balance in research teams. \nAbout Professor Green\nJudith Green is Professor of Sociology in the Department of Sociology\, Philosophy & Anthropology and Director of the Wellcome Centre for Cultures & Environments of Health at the University of Exeter. She has researched and published widely on the sociology of health\, health services and public health. Current research interests include mobility\, environmental determinants of health and methodology. \nShe is co-editor of the journal Critical Public Health and co-author of the textbook Qualitative Methods for Health Research. \nTwitter: @judegreen \nExplore past seminars\nAll MRC Epidemiology Unit seminars and events where slides\, audio or video are available can be found at www.mrc-epid.cam.ac.uk/past-seminars/ \nSign up for future seminars\nTo sign up for future seminars and/or other alerts please visit www.mrc-epid.cam.ac.uk/subscribe/
URL:https://www.epi.ims.cam.ac.uk/event/seminar-integrating-diverse-data-sets/
LOCATION:Online\, United Kingdom
ORGANIZER;CN="MRC Epidemiology Unit":MAILTO:contact@mrc-epid.cam.ac.uk
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210513T153000
DTEND;TZID=UTC:20210513T163000
DTSTAMP:20210514T164642Z
CREATED:20210419T172936Z
LAST-MODIFIED:20210514T164642Z
UID:19495-1620919800-1620923400@www.epi.ims.cam.ac.uk
SUMMARY:Anthropometry seminar - Toward a universal body composition assessment using 3D body scan
DESCRIPTION:All are invited to the MRC Epidemiology Unit Anthropometry Seminar: \nToward a universal body composition assessment using 3D body scan \nMarcelline Dechenaud\, Thecla\, LLC. \nProfessor Steven Heymsfield\, Pennington Biomedical Research Center. \nWatch a recording of this seminar on our YouTube channel. \nAbout this seminar\nDigital anthropometric (DA) assessments are increasingly being administered with 3D optical devices in clinical settings that manage patients with obesity and related metabolic disorders. However\, anatomic measurement sites are not standardized across manufacturers\, precluding use of published reference values and pooling of data across research centers. \nOur group developed “universal” 3D analysis software by applying novel programming strategies capable of producing device-independent DA estimates that agree with conventional anthropometric measurements made at well-defined anatomic sites. Availability of this software\, with future refinements\, will facilitate clinical applications and creation of large pooled uniform anthropometric databases that can provide new insights into a wide range of research topics. \nAbout Marcelline Dechenaud\nMarcelline Dechenaud received an MS in Mechanical Engineering from Université Lyon I in France in 2018 and a MS in Motor Behavior from the Kinesiology department of Louisiana State University in 2020. She has co-developed a universal 3D analysis software and authored 10 peer reviewed publications on body composition and 3D body scan technology. She has co-founded a company that aims to merge and make available clinical body composition data from research groups around the globe. Her current position is manager of the R&D department of Thecla\, LLC based in Baton Rouge\, LA\, USA. \nAbout Professor Steven Heymsfield\nSteven B. Heymsfield\, M.D. is Professor and Director of the Body Composition-Metabolism Laboratory at the Pennington Biomedical Research Center of the Louisiana State University System in Baton Rouge. Dr. Heymsfield has published more than 600 peer-reviewed papers covering topics such as obesity\, malnutrition\, cachexia\, body composition\, and caloric expenditure. His contributions to the study of human nutrition led to the TOPS Award and George Bray Founders Award from The Obesity Society (TOS)\, the Rhoads Award from the American Society of Parenteral and Enteral Nutrition (ASPEN)\, the Robert H. Herman Memorial Award\, American Society of Nutrition (ASN). Professor Heymsfield is past president of ASPEN\, ASN and TOS. \nExplore past seminars\nAll MRC Epidemiology Unit seminars and events where slides\, audio or video are available can be found at www.mrc-epid.cam.ac.uk/past-seminars/ \nSign up for future seminars\nTo sign up for future seminars and/or other alerts please visit www.mrc-epid.cam.ac.uk/subscribe/
URL:https://www.epi.ims.cam.ac.uk/event/anthropometry-seminar-universal-body-composition-3d-body-scan/
LOCATION:Online\, United Kingdom
ORGANIZER;CN="MRC Epidemiology Unit":MAILTO:contact@mrc-epid.cam.ac.uk
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