Paul Dickman: An introduction and some recent developments in statistical methods for population-based cancer survival analysis
Paul Dickman, Institutionen för medicinsk epidemiologi och biostatistik, Karolinska institutet
Tid: On 2013-03-06 kl 13.00 - 14.00
Plats: Room B705, Department of statistics, Stockholm university
Abstract
After introducing the field of population-based cancer survival analysis and its role in cancer control I will introduce the concept of relative survival and why it is often preferred over cause-specific survival for the study of cancer patient survival using data collected by population-based cancer registers. I will briefly mention some recent developments in methods for studying cancer patient survival, such as cure models (also known as split-population models), flexible parametric models, and estimating survival in the presence of competing risks.
Selected references
Dickman PW, Adami HO. Interpreting trends in cancer patient survival. Journal of Internal Medicine 2006;260:103-117.
Lambert PC, Thompson JR, Weston CL, Dickman PW. Estimating and modelling the cure fraction in population-based cancer survival analysis. Biostatistics 2007;8:576-94.
Andersson TM, Dickman PW, Eloranta S, Lambert PC. Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models. BMC Med Res Methodol 2011;11:96.
Andersson TM, Lambert PC, Derolf AR, Kristinsson SY, Eloranta S, Landgren O, Björkholm M, Dickman PW. Temporal trends in the proportion cured among adults diagnosed with acute myeloid leukaemia in Sweden 1973-2001, a population-based study. Br J Haematol 2010;148:918-24.
Lambert PC, Dickman PW, Nelson CP, Royston P. Estimating the crude probability of death due to cancer and other causes using relative survival models. Stat Med 2010;29:885-95.
About the presenter
Paul Dickman is Associate Professor of Biostatistics and deputy head of department at the the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet. He conducts research in epidemiology and biostatistics with particular focus on cancer epidemiology and register-based epidemiology. Dr 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. Current research, in collaboration with Paul Lambert from the University of Leicester, focuses on development and application of methods for presenting patient survival that are relevant for patients and their clinicians.