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Daniel Farewell

Professor Daniel Farewell

Professor of Statistics

School of Medicine

Overview

I am interested in the development of novel statistical theory and methodology, especially for causal inference and missing data. I collaborate with colleagues in Cardiff and beyond in applications to biomedical science, often using anonymised record-linked databases.

I maintain a particular focus on the analysis of longitudinal data, where study subjects may be observed on multiple occasions. Such analyses are especially challenging when the observed timings of measurements can provide further information about study subjects. For instance, if (when compared to healthier participants) those subjects who are most unwell tend to be observed less frequently, or to drop out earlier, careful analysis may be needed to avoid overrepresenting the healthy subjects when drawing conclusions from the study.

Publication

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

Current supervision

Mark Ponsford

Mark Ponsford

Specialist Trainee in Clinical Immunology and WCAT Fellow

Research themes

Specialisms

  • Statistics