Bénédicte Delcoigne

Bénédicte Delcoigne

Visiting address: Maria Aspmans gata 30A, 17164 Solna
Postal address: K2 Medicin, Solna, K2 KEP Askling, 171 77 Stockholm

About me

  • I am a statistician (MSc and PhD) with a strong interest in epidemiology and
    health related topics. I am particularly interested in contributing to
    building bridges between epidemiological research and statistical methods,
    and in encouraging researchers to use non-traditional approaches in analysing
    The main area of interest of my thesis was the nested case-control design. My
    thesis aimed to refine and extend the scope of the weighted likelihood
    approach in nested case-control data analysis by investigating the advantages
    of this method as an alternative to the traditional conditional logistic
    regression. The weighted likelihood approach showed several advantages
    compared to the traditional conditional logistic regression in nested
    case-control data analysis, which reinforced, refined and extended what had
    been previously shown in the literature.
    I am currently working as a statistician in the Unit of Clinical Epidemiology
    at the Department of Medecine of the Karolinska Institute. I am involved in
    studies related to chronic inflammatory diseases [1].
    * 2017, PhD (Medicine). Title of my thesis [2] : Efficient Design and
    Analysis of Extended Case-Control Studies.
    * 2005, certificate of pedagogic ability at higher level education (CAPAES),
    Université Libre de Bruxelles, Belgium.
    * 1998, complementary Master in Statistics (2 years), Université Libre de
    Bruxelles, Belgium.
    * 1991, complementary Master in Hospital Physics (2 years), Université
    Catholique de Louvain, Belgium.
    * 1989, MSc (Physics), Université Catholique de Louvain, Belgium.
    [1] http://ki.se/en/meds/kep-chronic-inflammatory-diseases
    [2] https://openarchive.ki.se/xmlui/handle/10616/45778


  • The title of my thesis [1] is "Efficient design and analysis of extended
    case-control studies". Using weighted partial likelihood methods in the
    analysis of nested case-control data, I addressed the following topics:
    * Reusing data from nested case-control design to address a new research
    * Estimating baseline hazard and absolute risk from nested case-control
    * Mitigating a problem of overmatching and handling clustered data in
    nested case-control design
    * Performing valid subgroups analysis in nested case-control studies
    *Research articles*
    * Delcoigne B, Colzani E, Prochazka M, Gagliardi G, Hall P, Abrahamowicz M,
    Czene K, Reilly M. Breaking the matching in nested case-control data
    offered several advantages for risk estimation. J Clin Epidemiol.
  • 82:79-86.https://www.ncbi.nlm.nih.gov/pubmed/27923734 [2]
    * Salim A, Delcoigne B, Villaflores K, Koh WP, Yuan JM, van Dam RM, Reilly
    M. Comparisons of risk prediction methods using nested case-control data.
    Stat Med.
  • 36(3):455-465. https://www.ncbi.nlm.nih.gov/pubmed/27734520 [3]
    * Delcoigne B, Hagenbuch N, Schelin ME, Salim A, Lindström LS, Bergh J,
    Czene K, Reilly M. Feasibility of reusing time-matched controls in an
    overlapping cohort. Stat Methods Med Res. 2016 Sep. pii:
    0962280216669744. https://www.ncbi.nlm.nih.gov/pubmed/27659169 [4]
    [1] https://openarchive.ki.se/xmlui/handle/10616/45778
    [2] https://www.ncbi.nlm.nih.gov/pubmed/27923734
    [3] https://www.ncbi.nlm.nih.gov/pubmed/27734520
    [4] https://www.ncbi.nlm.nih.gov/pubmed/27659169


  • I have a considerable experience in teaching statistics to undergraduate
    students at both University (Faculty of Medecine) and University College
    levels (Department of Paramedical Studies) in my home country (Belgium) for
    15 years.
    I have been involved in the following teaching activities at graduate and
    undergraduate levels since 2013 at KI and other Universities:
    * Basic courses in statistics at KI (biostat I and VetU)
    * Logistic regression at KI (biostat II)
    * Survival analysis at KI (biostat III)
    * Extensions to the design and analysis of case-control studies at
    University of Milano-Bicocca


All other publications


  • Statistician, Department of Medicine, Karolinska Institutet, 2017-

Degrees and Education

  • Degree Of Doctor Of Philosophy, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2017

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