Dr Phil Edwards BSc CStat PhD

Senior Lecturer Statistics

Phil Edwards's Background

Phil is a senior lecturer and chartered statistician. After studying Mathematics and Statistics at Warwick University, he worked for a public services research consultancy based in Birmingham, UK. In 1994 he moved into academia to research injury epidemiology, first in Department of Child Health at Newcastle University, and then at Institute of Child Health at University College London. In 2001 he moved to London School of Hygiene & Tropical Medicine.

Phil Edwards's Affiliation

Phil Edwards's Teaching

Phil is a co-organiser of the Term 1 foundation module ‘Statistics for Epidemiology and Population Health (STEPH)’. He also lectures on Sample Size, Sampling and Outcome Assessment for the Study Design module, and for the short courses 'Systematic Reviews & Meta-analyses of Health Research' and 'Intensive Course in Epidemiology & Medical Statistics'. He is a tutor on the MSc Epidemiology by distance learning.

Phil Edwards's Research

Phil’s research interests are in two broad areas: (i) Transport & Health, and (ii) Evidence-based data collection. He is currently the principal investigator of the LANTERNS project, which aims to evaluate whether reducing night-time streetlight for environmental and energy reasons, has any impact on road traffic crashes and crime. He has PhD students researching the relationship between road injury, deprivation and ethnicity in London, and modes of transport to school in India. He is also statistician for clinical trials of anti-fibrinolytic agents in patients at risk of serious haemorrhage run by the LSHTM Clinical Trials Unit, including the HALT-IT trial, WOMAN trial and CRASH-3 trial. His research into methods to increase response to postal questionnaires has been widely cited.

Research areas

  • Child health
  • Climate change
  • Clinical trials
  • Health inequalities
  • Mobile technologies
  • Physical activity
  • Transport

Disciplines

  • Epidemiology
  • Statistics

Disease and Health Conditions

  • Injuries
  • Obesity

Other interests

  • Accidents
  • Clustered Data
  • Complex Surveys
  • Cycling
  • ELearning
  • Ethnicity And Health
  • Health Survey Methods
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