Associate Professor of Biostatistics

University of Leicester


Email address:

Dr Mark Rutherford

Community Member


Dr Mark Rutherford is an Associate Professor of Biostatistics at the University of Leicester and also holds a visiting scientist position at the Section of Cancer Surveillance International Agency for Research on Cancer. His main areas of interest are in methods for the analysis of population-based registry data.

Mark’s main area of expertise is the calculation and presentation of cancer survival statistics. This includes undertaking and interpreting international comparisons of cancer survival. He has further expertise in approaches for understanding the reasons for differences in cancer survival outcomes seen across countries and population groups within countries (e.g. groups defined by socioeconomic status).

He has been involved in a number of methodological and applied papers for comparisons of cancer survival metrics; with a focus on developing measures that are intuitive but that retain appropriate fairness when comparing across population groups (e.g. across socioeconomic groups or across countries). A researcher from within our group (Sarwar Mozumder) has developed a web-based tool for understanding Cancer Survival measures:

Mark is also involved in applying and adapting the methods used in cancer epidemiology to other disease areas. He has recently been involved in developing an approach for providing up-to-date estimates of risk from prognostic models. Mark also collaborates on projects in an RCT and meta-analysis setting; where interest may be in competing risks, multistate modelling or extrapolation of survival functions.

Mark’s main research interests are focussed around methods for analysing population-based cancer data including relative survival methodology and applying flexible parametric models to largescale registry data. Within this context he has been involved in a number of applied studies that look to use more intuitive measures of the burden of cancer on life expectancy at an individual level and projects where we assess the population burden of cancer. Some recent methodological work in this area includes setting measures comparing different outcomes for population groups into a causal inference framework when using the relative survival approaches that are common for population-based cancer data. He has also worked on and developed approaches for modelling and projecting cancer incidence and mortality. Some of his recent research has involved applications of relative survival approaches to cardiovascular disease and other disease contexts. Finally I have a broader interest in approaches for extrapolation of survival functions – both in the context of observational data but also in the context RCT data.

Mark offers supervision of PhD students in a number of areas that align to his research interests. In general he supervises students looking at survival analysis methods including extensions to competing risks and multistate models. Mark is also keen to supervise methodological and applied projects using largescale population based data.

The majority of his teaching is on the MSc in Medical Statistics. Mark teaches on a few sessions for the fundamentals in medical statistics module on a teaching week for the statistical modelling module and a further teaching week in the Epidemiology module. He also supervises summer projects for the MSc Medical Statistics course. Further to this Mark makes other smaller contributions in terms of teaching to undergraduate and postgraduate modules across the College of Life Sciences including further supervision of undergraduate dissertations.

Additional HDR Midlands Team Members

Professor Robert Laramee

University of Nottingham

Zoë Turner

Senior Data Scientist
The Strategy Unit (NHS ML)

Mr Chris Dyke

Head of Connectivity
Medilink Midlands

Professor Iain Moppett

Professor of Anaesthesia & Perioperative Medicine
University of Nottingham