Predictive modelling: Shifting from reaction to prevention
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Predictive modelling: Shifting from reaction to prevention

Predictive modelling: Shifting from reaction to prevention

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Thank you for registering for our event. We will be in contact with you to provide you with a location map to our venue and also a parking permit. If you need any further information, please don't hesitate to contact us via cfproj@essex.ac.uk

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University of Essex Colchester Campus

Colchester

CO4 3SQ

United Kingdom

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Sales Have Ended

Registrations are closed
Thank you for registering for our event. We will be in contact with you to provide you with a location map to our venue and also a parking permit. If you need any further information, please don't hesitate to contact us via cfproj@essex.ac.uk
Event description

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In a climate of public sector resource and funding austerity, funds need to be invested in activities that add value and improve public sector services.

Presented by Dr Aris Perperoglou, this informative 2 hour seminar will offer an introduction to the theory of predictive modelling together with an overview of different examples and models, as well as its application and importance.

Dr Hershbinder Mann will also give an introduction and overview of the UK Data Archive; the lead organisation of the UK Data Service and an internationally acknowledged centre of expertise in acquiring, curating and providing access to data.

Held at the University’s Colchester Campus on Thursday 12 January 2017 13.45-16.30, this seminar will explain how predictive modelling utilises a series of statistical methods to understand hidden mechanisms and underlying patterns in historical and current data with the aim of successfully predicting future outcomes.

The use of statistical models can assist policy and decision making, by identifying factors where an early intervention can alter outcomes and optimise the use of scarce resources.

Dr Aris Perperoglou is a Senior Lecturer in Statistics at the University of Essex. His research has focused on dynamic models for survival analysis, penalized likelihood methods, smoothing techniques, as well as applied research in medical statistics and data visualisation.

Aris is an associate editor of the international journal Statistical Modelling, and a member of the National Institute for Health Research, Research for Public Benefit Regional Advisory Panel, and the Royal Statistical Society, with a passion for public communication of statistics.

This insightful seminar will also be an opportunity to network and share information with other public sector professionals. Light refreshments will be available on arrival.

We look forward to seeing you at this free event.


This seminar is part of a training series ‘Empowering the Public Sector:Delving into Data Analytics’ in conjunction with the Business and Local Government Data Research Centre. The series aims to help public sector organisations to overcome the challenges of using data to become more effective. The other events in the series are:

Thursday 12th January (AM) - An overview of Agent Based Modelling (ABM)

Friday 13th January (AM) - Data Linkage Techniques (GIS)

By registering on this page you are registering for the “Predictive modelling: Shifting from reaction to prevention” session only. If you would like to register for the above two sessions too, you can register for the whole series by following the link below:

https://publicsectortraining_course.eventbrite.co.uk

Please note that this training course is open to members of public sector organisations only

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University of Essex Colchester Campus

Colchester

CO4 3SQ

United Kingdom

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