Prof Evan Kontopantelis PhD.

Professor of Data Science & Health Services Research

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Research interests

I work with large-scale primary care databases (PCDs) to investigate important health care issues: the effect of monetary incentives on quality of care, predictors of cancer, cancer screening utilisation, care for people with severe mental illnesses.

From a methodological perspective I am mainly interested in computational statistics and simulations, meta-analysis, data mining techniques, structural equation modelling, interrupted time series analysis, statistical software and the validity issues around large databases in health care.

Methodological knowledge


Computational statistics / simulations


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 within the Stata environment for a list of software contributions


Research and projects