Evangelos (Evan) Kontopantelis, PhD.

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Personal profile

Overview

I am based in the Division of Population Health, Health Services Research and Primary Care, and work across numerous centres within the Division.

Honourary Research Fellow for the University of Erlangen, Germany

Biography

Evangelos (Evan) Kontopantelis is a Professor in Data Science and Health Services Research in the Division of Informatics, Imaging and Data Sciences, at the University of Manchester, England. He holds degrees in computational statistics (BSc) and machine learning (MSc and PhD) and has a long track record in research using large-scale primary care and other administrative databases to investigate quality of care, mortality and cardiovascular disease, with a focus on the effects of policy changes and the role of socio-economic and regional disparities. His methodological interests include statistical methods in health sciences with a focus on spatial epidemiology, meta-analysis, longitudinal data modelling, observational studies with electronic health records, pharmacoepidemiology, machine learning and quasi-experimental designs.

Memberships of committees and professional bodies

Fellow of the Royal Statistical Society (RSS)

RSS Manchester Local Group Secretary

Methodological knowledge

Biostatistics

Computational statistics / simulations

Meta-analysis

Bootstrapping methods

Structural Equation Modelling

Data mining techniques

Applied mathematics

Interrupted time series analysis

Artificial Neural networks

Algorithms (theory, applications)

Large databases in health care

type net from http://statanalysis.co.uk/ within the Stata environment for a list of software contributions

Qualifications

PhD in Computer Engineering, National Technical University of Athens, Department of Electrical & Computer Engineering, Information Technology Section. Thesis: An application of statistics, artificial neural networks and dynamic measures in psychiatric diagnosis

MSc in Computer Engineering, N.T.U.A., Department of Electrical & Computer Engineering, Information Technology Section

Degree in Statistical Science, University of Piraeus

Teaching

Supervising up to five PhD students, at any time

Supporting Centre for Biostatistics with the “biostats clinics”, guiding medical students with their fourth year project option.

Writing or contributing to blogs:

http://blog.policy.manchester.ac.uk/featured/2015/03/can-performance-pay-in-primary-care-reduce-mortality/

https://theconversation.com/health-database-could-help-avoid-another-pharma-scandal-23730

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 10 - Reduced Inequalities

Areas of expertise

  • QA75 Electronic computers. Computer science
  • QA76 Computer software
  • Q Science (General)
  • HA Statistics

Research Beacons, Institutes and Platforms

  • Digital Futures
  • Christabel Pankhurst Institute

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Collaborations and top research areas from the last five years

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