Dr Matthew SperrinPhD

Senior Lecturer

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ORCID: 0000-0002-5351-9960
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Overview

Dr Sperrin is Senior Lecturer in Health Data Science in the Health eResearch Centre for North England (www.herc.ac.uk), University of Manchester, with a background in statistics.

Qualifications

PhD, Statistics, Lancaster University (2010)

MMORSE (Masters in Maths, Operational Research, Statistics and Economics), University of Warwick (2006)

Memberships of committees and professional bodies

Royal Statistical Society, CStat.

FHEA

Research Networks and Beacons

Biology, Medicine and Health (BMH) Domains

Related information

Publications

Do population-level risk prediction models that use routinely collected health data reliably predict individual risks?

Research output: Contribution to journal › Article

Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond

Research output: Contribution to journal › Article

Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review

Research output: Contribution to journal › Article

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Projects

Mapping Opportunities for Earlier Detection of Bipolar Disorder - Linking Big Data to Improve Partient Outcomes.

Project: Research

Harnessing Opportunities for Quality Improvement from Primary Care Electronic Health Records.

Project: Research

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Datasets

Tilting the lasso by knowledge-based post-processing

Dataset

Clinical prediction in defined populations: a simulation study investigating when and how to aggregate existing models

Dataset

Outcome-sensitive multiple imputation: a simulation study

Dataset

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Student Theses

Procedural Volume in the Radial Percutaneous Coronary Intervention Era: An Analysis of the British Cardiovascular Intervention Society Registry

UoM administered thesis: Phd

The occurrence of metabolic and inflammatory causes of psychosis in admissions to a psychiatric unit

UoM administered thesis: Phd

Coronary revascularisation in the UK: using routinely collected data to explore case trends, treatment effectiveness and outcome prediction.

UoM administered thesis: Phd

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Impact

Health benefits of childhood obesity prevention, increased public participation and national recognition from the implementation of the Children’s Health and Monitoring Programme (CHAMP) in Manchester

Impact: Health impacts, Societal impacts

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