Dr. Mark Lunt

Associate Professor

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Biography

Mark Lunt is a Reader in Medical Statistics at the University of Manchester's Arthritis Research UK Epidemiology Unit. He completed his B.Sc. in Mathematics at Warwick University in 1985 and later earned a PGCE in 1987. His teaching career began as a secondary school mathematics teacher in Liverpool, interrupted by the civil war in Liberia, during which he worked with Médecins Sans Frontières. Lunt's research primarily focuses on the estimation of treatment effects in observational studies, where patients receive treatments for clinical reasons rather than through randomized clinical trials. His methodologies often involve the use of propensity scores to compare outcomes between treated and untreated subjects, allowing for unbiased effect estimation. He also teaches a course on Statistical Modelling with Stata aimed at in-service training for researchers in the unit. His work has significant implications for public health, contributing to methodologies that assess and improve health outcomes in various populations, particularly in rheumatology through innovative statistical methods and addressing confounding variables in study designs.

Research Interests

Experience

Reader

1999-01-01 — Present

University of Manchester • Manchester, ENG, United Kingdom

Leading research in medical statistics focusing on treatment effects and confounding variables.

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.