About the faculty

Paul Lambert is Professor of Biostatistics in the Department of Population Health Sciences at the University of Leicester, UK and the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, Stockholm Sweden. Paul's main research interest has been in developing methods in survival analysis, particularly the modelling of relative survival. Paul has developed numerous Stata commands to fit survival models and to obtain useful and relevant predictions from these models. Paul is coauthor of the book Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model.

Paul Dickman is Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet. He conducts research in epidemiology and biostatistics with a focus on cancer epidemiology and register-based epidemiology. Paul has long been interested in the study of cancer patient survival, the topic of his 1997 doctoral thesis where he studied with Professor Timo Hakulinen. His primary interests lie in development and application of statistical methods for estimating and modelling relative/net survival. He has developed code in both SAS and Stata (-strs- and -stnet-) for estimating and modelling relative survival.

Therese Andersson is senior lecturer in Biostatistics at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, Stockholm Sweden. Therese's main research interest is cancer patient survival; she has developed methods for estimating the life expectancy and loss in life expectancy for cancer patients, as well as applied the methods to a range of cancer sites.

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 area of interest is statistical methods development for analysing largescale population based data, especially for cancer. He has been involved in a number of methodological and applied papers for comparisons of cancer survival metrics; with an overall 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). He has developed Stata code for modelling and projecting cancer incidence, and also contributed to code in Stata to estimate and plot Pohar Perme survival estimates.

Elisavet (Betty) Syriopoulou is a postdoctoral researcher in Biostatistics at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet. Betty works on survival analysis and in particular on the development and application of statistical methods for cancer registry data. Her research consists of two broad areas: understanding the determinants that drive inequalities in cancer survival and improving the reporting and communication of complex cancer statistics. This involves extensions of causal mediation analysis and developments in life expectancy measures for summarising the cancer prognosis.