Tuesday 21st January, 14.00-15.30, room 512, Cedar House, University of Liverpool
Peter J Diggle (Medical School, Lancaster University & Department of Epidemiology and Population Health, University of Liverpool) presents "Statistical Methods for e-Health"
There is a range of opinion on exactly what is meant by the term e-health. In this talk I will take it to mean a body of methodology intended to extract useful information from health-related data that is routinely acquired, often in real-time, during the operation of a health care system, rather than through specific, planned research projects. My impression is that large, and rapidly increasing, amounts of such data are acquired and stored for possible future retrieval, but all-too-seldom analysed. Also, these data are often temporally and/or spatially referenced and can thereby be linked to other electronically accessible data-sets such as census records, consumer purchasing patterns or social media activity.
In this talk, I will argue that current research on statistical modelling of spatially and/or temporally referenced data can make an important contribution to real-time analysis of e-health data, with a view to identifying underlying trends and, often more interestingly, unexpected departures from those trends. I will then describe several applications of these ideas that are in various stages of development, from completed projects to half-formulated ideas.
Everyone welcome - please register at https://sites.google.com/site/rssmerseyside/research-meetings/e-health/register
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