Mark Clements

Mark Clements

Senior Lecturer | Docent
Telephone: +46852482023
Visiting address: ,
Postal address: C8 Medicinsk epidemiologi och biostatistik, C8 MEB II Clements, 171 77 Stockholm

About me

  • I am a docent and associate professor in biostatistics. I have worked as a
    biostatistician in Sweden, Australia, New Zealand and the United Kingdom,
    including positions in academia and in government.
    I am currently a member of the Management Group for the Swedish eScience
    Research Centre [1] and a co-leader for the eScience for Cancer Prevention
    and Control project [2].
    * 1991, BSc (Hons) in Mathematics and Statistics, University of Auckland
    * 2001, PhD in Biostatistics and Cancer Epidemiology, University of Sydney


  • My main interests are in statistical modelling and simulation for cancer.
    This includes:
    * Methods for survival analysis, including generalised survival models,
    smooth accelerated failure time models and parametric multi-state Markov
    models ( [1])
  • see also our
    article in Statistical Methods in Medical Research [2] and Statistics in
    Medicine [3].
    * Microsimulation for cost-effectiveness analysis of prostate cancer testing
    ( [4], [5]).
    * Methods for paired screen-positive designs
    ( [6]).
    * Methods for multi-rater agreement
    ( [7]).
    *Current primary PhD supervision*
    * Shuang Hao [8]
    *Previous primary PhD supervision*
    * Andreas Karlsson [9]
    * Xingrong Liu [10]
    [8] http://default/people/shuhao
    [9] http://default/people/andkar
    [10] http://default/people/xinliu


  • Course director for Biostatistics III: Survival analysis for epidemiologists
  • which has an accompanying R package biostat3 [2] on CRAN.


All other publications



  • Senior Lecturer, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2012-

Degrees and Education

  • Docent, Karolinska Institutet, 2019


  • Enoch Chen, Extrapolating survival with applications in health technology assessment, 2021
  • Linda Abrahamsson, Statistical models of breast cancer tumour progression for mammography screening data, 2012

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