Paul Dickman is Professor of Biostatistics at the 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. Professor Dickman has long been interested in the analysis of cancer patient survival, the topic of his 1997 doctoral thesis where he studied with Professor Timo Hakulinen. His primary interests lie in statistical methods for estimating and modelling relative survival. He has published widely in the field of cancer patient survival, is a coauthor of the Stata strs command for estimating and modelling relative survival, and taught courses in cancer survival analysis in eight different countries.
Paul Lambert is Professor of Biostatistics in the Department of Health Sciences at the University of Leicester. Paul currently is seconded (30% FTE) to the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet. Paul's main research interest has been in developing methods for modelling relative survival. In particular modelling time-dependent covariate effects, incorporating period analysis in statistical models, and the estimation and modelling of 'cure' in population-based cancer studies. He is particularly keen on the use of flexible parametric survival models for both standard and relative survival. These offer a number of advantages in terms of communication of results, for example quantifying absolute levels of risk as well as relative risk. He has developed software in Stata to fit cure models for relative survival (strsmix and strsnmix) and also flexible parametric models (stpm2). Paul is coauthor of the book Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model.
Sandra Eloranta is a senior statistical advisor at Scandinavian Development Services and is a biostatistician at the Clinical Epidemiology Unit at the Department of Medicine, Karolinska Institutet. She did her PhD training at the Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet on the topic of statistical methods for estimating population-based cancer patient survival. The main focus of her PhD work was on developing methods for studying excess mortality among cancer patients from causes other than cancer in a competing risk setting. Sandra's main research interests today are patient survival and survivorship issues after hematological malignancies. Sandra is also a regular teacher at the Clinical Research Schools for oncologists, psychiatrists and odontologists at Karolinska Institutet. Among other teaching activities she has been teaching and organising courses on survival analysis for epidemiologists, statistical methods for cancer patients survival, competing risks and real-world evidence studies.
Michael Crowther is a post-doctoral biostatistician, currently with a joint position at the Department of Health Sciences, University of Leicester, and the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet. His PhD thesis centred on the development of methods for the analysis of survival data and joint longitudinal-survival data, with a focus on flexible and parametric frameworks. He has also developed methods for simulating complex survival data. He has first authored 12 methodological papers in the areas of survival analysis, joint longitudinal-survival analysis and meta-analysis, including articles describing user friendly Stata software, allowing the methods to be directly used in practice. He has experience in teaching at the postgraduate level, developing and running short courses on joint modelling and in the design of simulation studies for evaluating statistical methods. He is currently working in the areas of multi-state models and multilevel relative survival analysis.
Anna Johansson is a biostatistician at the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet since 1999. Her research interests lie in reproductive epidemiology and cancer epidemiology, with a special focus on pregnancy-associated breast cancer. She is also interested in the application of novel statistical and epidemiological tools to register data, and has published widely in the field of register-based epidemiology. Anna has been involved in teaching and organising several courses and workshops on cancer survival analysis and epidemiological designs, such as the nested case-control and case-cohort designs, both at Karolinska Institutet and other places.
Mark Rutherford is a lecturer in biostatistics at the Department of Health Sciences, University of Leicester. His main areas of research relate to cancer epidemiology, with particular interest in methods for reporting cancer survival metrics and modelling cancer incidence. Mark has co-authored papers on methods for projecting cancer incidence using age-period-cohort models and has also written Stata software to implement the modelling approaches. His PhD thesis was also focussed on methods for projecting cancer prevalence; combining up-to-date and projected estimates of cancer incidence and survival.