ARCHIVED | Event | Seminar Series | Statistics and Data Science in the Digital Age

ARCHIVED | SASNet Seminar | Mortality Estimation and Forecasting With Smoothing and Overdispersion
3 February, 2017
ARCHIVED | Event | Chasing Impact | Using the Press and Social Media to Tackle the REF
23 February, 2017
Show all

ARCHIVED | Event | Seminar Series | Statistics and Data Science in the Digital Age

Session Five – Making sense of big healthcare data – analysing longevity

Archived – Please note this event took place in the past and has been left here for reference purposes. View our full list of events to see what we have coming up or send us an email if there is a particular type of event you are interested in.

Date: 3rd March 2017
Time: 14:00
Venue: ARTS 2.01, University of East Anglia

Approximately three decades ago the migration from paper to electronic health records began to take place. This gave rise to electronic medical records databases. Due to their enormous size in both the number of patients and amount of information collected, these databases have become increasingly useful and beneficial in research. These databases allow for all sorts of observational epidemiology studies, which are important sources of information next to clinical trials, as they provide inside in what happens in practice and allow to detect differences in prognosis of medical conditions and effectiveness of treatments in clinically-defined subpopulations. In this talk, I will present how to design a cohort study to estimate longevity and longevity improvement based on routine collected primary care data. The case study will focus on survival prospects after heart attack and how survival prospects were changed by recommended treatments.

Please note that registering is required for catering purposes. Tea and coffee will be provided.

If you would like more information or to secure your place, please do so by emailing cmpmth.lso@uea.ac.uk