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Centre for Statistical Methodology Seminar
Big Data Theme
Friday 26 January 2018, 12:45-2:00pm
Manson Lecture Theatre, Keppel Street
Statistical methods for real-time monitoring of health outcomes
Prof Peter Diggle (University of Lancaster)

Abstract: The terms “e-health” and “health informatics” are increasingly used to describe 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. These data are often temporally and/or spatially referenced and can be linked to other electronically accessible data-sets such as census records, environmental features 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.

Centre for Statistical Methodology Seminar
Causal Inference Theme
Thursday 22 February 2018, 12:45-2:00pm
LG9, Keppel Street
Title TBC
Prof Stijn Vansteelandt (University of Ghent & LSHTM)

Centre for Statistical Methodology Seminar
Time Series Regression Analysis Theme
Friday 23 March 2018, 12:45-2:00pm
LG81, Keppel Street
Title TBC
Antonio Gasparrini (LSHTM)