Dr Claudia Allemani MSc PhD FHEA MFPH

Associate Professor in Cancer Epidemiology, Research Degree Coordinator


Claudia graduated in mathematics from the University of Turin (Italy) in 1996, completed a Masters in Statistical and Informatic Methods for data analysis in the University of Milan (Italy) in 1998, then a PhD-equivalent in Medical Statistics in 2001 and a PhD in Public Health and Education in 2006, both in the University of Pavia (Italy).She has been a Fellow of the Higher Education Academy (FHEA) since July 2012. She has been accepted as an Honorary Member of the Faculty of Public Health by distinction in March 2014.

She was a Research Fellow in Medical Statistics and Epidemiology in Pavia from 1998 to 2001, studying geographical variation in the prevalence of multiple sclerosis (MS) in Sardinia (Italy) and the healthcare of MS patients in Italy.

From 2001 to 2011, she was a Research Fellow in the Epidemiology Unit, Istituto Nazionale Tumori, Milan (Italy), working on EUROCARE (European Cancer Registry-based study of survival and care of cancer patients) and related studies, and on the HAEMACARE project (haematological malignancies). She joined the Cancer Research UK Cancer Survival Group in October 2011 as a Lecturer in Cancer Epidemiology.




Claudia is involved in various teaching modules of the MSc Epidemiology and other masters courses, and in the Advanced Course in Epidemiological Analysis. She is a co-organiser of the short course "Cancer Survival: Principles, Methods and Applications". Claudia is also a tutor on the Epidemiology MSc and since November 2013 has been one of the two Departmental Research Degree Co-ordinators for NCDE.



Her main interests are in international comparisons of cancer survival and the estimation of avoidable premature deaths. She works on the global study of cancer survival (CONCORD-2), for which she is leading the data management and survival analyses. She is also examining cancer survival by health insurance in Kentucky State (USA).

Research areas

  • Health outcomes
  • International comparisons
  • Modelling
  • Public health
  • Statistical methods


  • Epidemiology

Disease and Health Conditions

  • Cancer


  • World

Other interests

  • Cancer Survival
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