Statistical methods in epidemiology – Paul Dickman's research group

Our research group develops and applies statistical methods for register-based epidemiology. We work primarily with cancer epidemiology and specialize in methods for studying cancer patient survival using data collected by cancer registries, particularly the estimation and modeling of relative/net survival.

Sketch of the Wargentin building, KI Campus Solna

Our research group develops and applies statistical methods for register-based epidemiology. We work primarily with cancer epidemiology and specialize in methods for studying cancer patient survival using data collected by cancer registries, particularly the estimation and modeling of relative/net survival.

News

Publications

All publications from group members

Members and contact

Group leader

All members of the group

Visiting address

Karolinska Institutet, Department of Medical epidemiology and Biostatistics, Nobels väg 12A, Stockholm, 17177, Sweden

Postal address

Karolinska Institutet, Department of Medical epidemiology and Biostatistics, PO Box 281, Stockholm, 171 77, Sweden

Keywords:
Biostatistics Cancer and Oncology Epidemiology Probability Theory and Statistics Public Health, Global Health, Social Medicine and Epidemiology
PD
Content reviewer:
27-03-2024