Tackling Obesity with Big Data: methods & models - One Day Seminar


2016-03-16 09:30: Modelling and visualising large and complex datasets to guide active travel policies: a case study from the Propensity to Cycle Tool (Dr James Woodcock, CEDAR & MRC Epidemiology Unit, University of Cambridge & Dr Robin Lovelace, School of Geography, University of Leeds)

2016-03-16 09:30: Interpreting results from analysis with big data: examples from epidemiology (Darren Greenwood, Leeds Institute of Cardiovascular and Metabolic Medicine)

2016-03-16 09:30: Big Data and the Obesity Epidemic (Adam Drewnowski, School of Public Health, University of Washington)