Paul Dickman

Paul Dickman

Professor | Docent
Telephone: +46852486186
Visiting address: Nobels väg 12a, 17165 Solna
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB Dickman, 171 77 Stockholm

About me

  • I am Professor of Biostatistics at the Department of Medical Epidemiology and Biostatistics (MEB) at Karolinska Institutet in Stockholm, where I’ve been employed since March 1999. I am deputy head of department, head of the MEB Biostatistics group, and programme director for the Master's programme in biostatistics and data science.

Research

  • My primary research interests are developing and applying statistical methods for population-based studies of cancer patient survival, particularly the estimation and modeling of relative/net survival. I also have general interests in epidemiology, particularly cancer epidemiology.

Teaching

  • I am programme director for the Master's programme in biostatistics and data science as well as course director and course teacher for courses within the programme.

Articles

All other publications

Employments

  • Professor, Biostatistics, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2013-

Degrees and Education

  • Docent, Karolinska Institutet, 2002
  • PhD, Estimating Regional Variation in Cancer Patient Survival, Statistics, University of Newcastle Australia, 1997

Leadership and responsibility assignments

  • Responsible for a study programme, Master’s programme in biostatistics and data science, Karolinska Institutet, https://education.ki.se/student/masters-programme-in-biostatistics-and-data-science, 2023-
  • Deputy head of department, Deputy head of department, Karolinska Institutet, https://ki.se/en/meb/executive-group, 2020-
  • Responsible for a section, MEB biostatistics group, Karolinska Institutet, https://ki.se/en/meb/meb-biostatistics-group, 2017-

Supervisor

  • Emma Söreskog, 2023
  • Enoch Chen, Extrapolating survival with applications in health technology assessment, 2021
  • Nurgul Betyrbekova, Modeling multiple time-scales with flexible parametric survival models – with applications to Myeloproliferative Neoplasm (MPN), 2019
  • Roxanna Hellgren, Beyond mammography: an evaluation of complementary modalities in breast imaging, 2017
  • Caroline Weibull, Survivorship in Hodgkin lymphoma : childbearing and treatment-related disease, https://openarchive.ki.se/xmlui/handle/10616/46467, 2014
  • Sandra Eloranta, Development and application of statistical methods for population-based cancer patient survival, https://openarchive.ki.se/xmlui/handle/10616/41612, 2010
  • Anna Törner, Statistical methods for long-term follow-up of infectious diseases, https://openarchive.ki.se/xmlui/handle/10616/41890, 2008
  • Pamela Surkan, Predictors and consequences of loss of a child : nationalwide epidemiological studies from Sweden, https://openarchive.ki.se/xmlui/handle/10616/43576, 2005
  • Chantal Mascarenhas (Orgéas), Endogenous and exogenous hormonal factors in female cancers – studies of risk and prognosis, 2005
  • Cat Halthur, Cancer and calcium : epidemiological studies of cancer incidence and survival, https://openarchive.ki.se/xmlui/handle/10616/40464, 2004
  • Mats Talbäck, Cancer patient survival in Sweden : theory and application, https://openarchive.ki.se/xmlui/handle/10616/40791, 2004
  • Anna Johansson, Pregnancy and breast cancer: risk patterns, tumour characteristics and prognosis, https://openarchive.ki.se/xmlui/handle/10616/45002
  • Hannah Bower, Flexible parametric models for cancer patient survival: loss in expectation of life and further developments, https://openarchive.ki.se/xmlui/bitstream/handle/10616/46179/Thesis_Hannah_Bower.pdf?sequence=1&isAllowed=y

Editorial work

  • British Journal of Cancer, Guest editor, https://www.nature.com/bjc/, 2022-2023

Other expert reviewer/evaluation assignment

  • Evaluator of research applications in national competition, Member of evaluation committee Pk F, Swedish Cancer Society, 2023

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