Dr Matthew Sperrin PhD

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 (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

Missing data was handled inconsistently in UK prediction models: a review of method used

Research output: Contribution to journal › Article › peer-review

Developing Clinical Prediction Models when adhering to minimum sample size recommendations: the importance of quantifying bootstrap variability in tuning parameters and predictive performance

Research output: Contribution to journal › Article › peer-review

Immune infiltrate diversity confers a good prognosis in follicular lymphoma

Research output: Contribution to journal › Article › peer-review

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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

Tumour Infiltrating Lymphocytes in Follicular Lymphoma - additional data

Dataset

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

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Student Theses

Ascertaining Patterns of Asthma Symptoms in Childhood using Machine Learning Methods

UoM administered thesis: Phd

Exploring the complex and paradoxical relationships between Type 2 Diabetes, obesity and cancer, as a framework for risk prediction models

UoM administered thesis: Phd

LARGE-SCALE (RE)EVALUATION OF THE RELATIONSHIPS BETWEEN IMAGING, TUMOUR AND NODAL STAGING AND ONCOLOGICAL OUTCOME IN PATIENTS WITH ANAL CANCER

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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