Bénédicte Delcoigne
Statistician
E-mail: benedicte.delcoigne@ki.se
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
data.
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
Research
- 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
question.
* Estimating baseline hazard and absolute risk from nested case-control
data.
* 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.
2017 - 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.
2017 - 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
Teaching
- 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
Articles
- Article: JOURNAL OF INTERNAL MEDICINE. 2024;295(3):313-321
- Article: RHEUMATOLOGY. 2023;62(10):3391-3399
- Article: EUROPEAN JOURNAL OF INTERNAL MEDICINE. 2023;115:55-61
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2023;82(5):601-610
- Article: ACR OPEN RHEUMATOLOGY. 2023;5(5):277-284
- Article: EUROPEAN UROLOGY. 2023;83(4):343-351
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2023;82(2):189-197
- Article: RMD OPEN. 2022;8(2):e002776
- Article: RMD OPEN. 2022;8(2):e002700
- Article: RHEUMATOLOGY. 2022;61(12):4741-4751
- Article: RHEUMATOLOGY. 2022;61(11):4286-4296
- Article: RHEUMATOLOGY. 2022;61(9):3596-3605
- Article: ARTHRITIS RESEARCH & THERAPY. 2022;24(1):185
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2022;81(6):789-797
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2022;81(3):433-439
- Article: RMD OPEN. 2021;7(3):e001987
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2021;80(11):1410-1418
- Article: RHEUMATOLOGY. 2021;60(8):3760-3769
- Article: RHEUMATOLOGY. 2021;60(8):3656-3668
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2021;80(8):1086-1093
- Article: RMD OPEN. 2020;6(2):e001282
- Article: RMD OPEN. 2020;6(1):e001197
- Article: ANNALS OF THE RHEUMATIC DISEASES. 2020;79(5):566-572
- Article: NEUROLOGY. 2020;94(11):e1201-e1212
- Article: RMD OPEN. 2019;5(2):e001055
- Article: STATISTICAL METHODS IN MEDICAL RESEARCH. 2018;27(6):1818-1829
- Article: INTERNATIONAL JOURNAL OF EPIDEMIOLOGY. 2018;47(3):841-849
- Article: STATISTICS IN MEDICINE. 2017;36(3):455-465
- Article: JOURNAL OF CLINICAL EPIDEMIOLOGY. 2017;82:79-86
- Article: PSYCHIATRIC GENETICS. 1998;8(4):197-205
- Show more
All other publications
- Review: PHARMACOEPIDEMIOLOGY AND DRUG SAFETY. 2023;32(3):279-286
- Corrigendum: RHEUMATOLOGY. 2022;61(12):4998
- Letter: ANNALS OF THE RHEUMATIC DISEASES. 2022;81(5):e74
- Thesis / dissertation: 2017
Employments
- Statistician, Department of Medicine, Karolinska Institutet, 2017-
Degrees and Education
- Degree Of Doctor Of Philosophy, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2017