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Daniel Farewell

Daniel Farewell

Teams and roles for Daniel Farewell

Overview

I develop novel statistical theory and methodology, and collaborate with colleagues in Cardiff and beyond on applications to epidemiology, clinical medicine, and public health. I have longstanding interests in repeated measurements, causal inference, and missing data.

I maintain a particular focus on regression models, using ideas from abstract algebra (group actions on affine spaces, for example) to explore their structure and composition. Group actions can be combined to create new kinds of statistical models, and affine spaces shed light on subtle notions like Simpson's paradox.

 

Publication

2026

2025

2024

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

Articles

Conferences

Monographs

Biography

Education and qualifications

  • 2006: PhD (Statistics), Lancaster University
  • 2002: MMath (Mathematics), Oxford University

Career overview

  • 2022-present: Professor, Cardiff University
  • 2018-2022: Reader, Cardiff University
  • 2015-2018: Senior Lecturer, Cardiff University
  • 2010-2015: MRC Methodology Fellow, Cardiff University
  • 2007-2010: MRC/WAG Training Fellow in Health Services Research/Health of the Public, Cardiff University
  • 2005-2007: Research Associate, Cardiff University

Honours and awards

  • MRC Centenary Award, 2012-2013
  • Royal Statistical Society Research Prize, June 2011

Professional memberships

  • International Biometric Society
  • Royal Statistical Society

Supervisions

External supervision

Mark Chatfield

Faculty of Medicine
The University of Queensland
Australia

Rachel McDowell

Department for Health
University of Bath
Faculty of Humanities and Social Sciences

Past projects

Mark Ponsford

Annette Evans

Andrea Gärtner

Laura Cowley

Haroon Ahmed

David Gillespie

Contact Details

Email [email protected]
Telephone +44 29206 87247
Campuses Neuadd Meirionnydd, University Hospital of Wales, Heath Park, Cardiff, CF14 4YS

Research themes

Specialisms

  • Statistics