Prof. Dr. Vanessa Didelez
- Department: Biometry and Data Management
- Unit: Research Group Statistical Methods for Causal Inference
Curriculum vitae
since July 2016 Professor of Statistics and Causal Inference, University of Bremen, and Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS (Deputy Head of Department)
2018-2020: Principal investigator, DFG grant "Causal Discovery for Cohort Data"
2015-2018: CoIlaborator on MRC grant “Development of a multilevel and mixture-model framework for modelling epigenetic changes over time”
2013-2023: Collaborator on MRC Integrative Epidemiology Unit, Theme 3: "Statistical and Econometric Methodology"
2013- June 2016: Reader in Statistics at the School of Mathematics, University of Bristol
2011-2013: Leverhulme Research Fellowship “Statistical models and methods for complex causal inference”
2009-2013: Senior Lecturer at the School of Mathematics, University of Bristol
2007-2010: CoI on MRC grant “Inferring epidemiological causality using Mendelian Randomisation”
2007-2009: Lecturer at the School of Mathematics, University of Bristol
2001-2007: Lecturer at the Department of Statistical Science, University College London
Dec 2000: PhD (Dr rer.nat.) at the Department of Statistics, University of Dortmund, Germany
1997-2000: Research Assistant at the Department of Statistics, University of Munich, Germany
1996: Diploma in "Statistics with Psychology" at the Department of Statistics, University of Dortmund, Germany
2018-2020: Principal investigator, DFG grant "Causal Discovery for Cohort Data"
2015-2018: CoIlaborator on MRC grant “Development of a multilevel and mixture-model framework for modelling epigenetic changes over time”
2013-2023: Collaborator on MRC Integrative Epidemiology Unit, Theme 3: "Statistical and Econometric Methodology"
2013- June 2016: Reader in Statistics at the School of Mathematics, University of Bristol
2011-2013: Leverhulme Research Fellowship “Statistical models and methods for complex causal inference”
2009-2013: Senior Lecturer at the School of Mathematics, University of Bristol
2007-2010: CoI on MRC grant “Inferring epidemiological causality using Mendelian Randomisation”
2007-2009: Lecturer at the School of Mathematics, University of Bristol
2001-2007: Lecturer at the Department of Statistical Science, University College London
Dec 2000: PhD (Dr rer.nat.) at the Department of Statistics, University of Dortmund, Germany
1997-2000: Research Assistant at the Department of Statistics, University of Munich, Germany
1996: Diploma in "Statistics with Psychology" at the Department of Statistics, University of Dortmund, Germany
Memberships
Projects
Links
Selected publications
Articles with peer-review
- Stensrud MJ, Young JG, Didelez V, Robins JM, Hernán MA. Separable effects for causal inference in the presence of competing events. Journal of the American Statistical Association. 2021; (Epub 2020 May 15).
https://doi.org/10.1080/01621459.2020.1765783 - Aalen OO, Stensrud MJ, Didelez V, Daniel R, Roysland K, Strohmaier S. Time-dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model. Biometrical Journal. 2020;62(3):532-549.
https://doi.org/10.1002/bimj.201800263 - Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk R, Ahrens W, Didelez V. Causal discovery of gene regulation with incomplete data. Journal of the Royal Statistical Society. Series A (Statistics in Society). 2020;183(4):1747-1775.
https://doi.org/10.1111/rssa.12565 - Sheehan N, Didelez V. Epidemiology, genetic epidemiology and Mendelian randomisation: More need than ever to attend to detail. Human Genetics. 2020;139(1):121-136.
https://doi.org/10.1007/s00439-019-02027-3 - Didelez V. Defining causal mediation with a longitudinal mediator and a survival outcome. Lifetime Data Analysis. 2019;25(4):593-610.
https://doi.org/10.1007/s10985-018-9449-0 - Witte J, Didelez V. Covariate selection strategies for causal inference: Classification and comparison. Biometrical Journal. 2019;61(5):1270-1289.
https://doi.org/10.1002/bimj.201700294 - Phillippo DM, Dias S, Ades AE, Didelez V, Welton NJ. Sensitivity of treatment recommendations to bias in network meta-analysis. Journal of the Royal Statistical Society. Series A (Statistics in Society). 2018;181(3):843-867.
https://doi.org/10.1111/rssa.12341 - Vansteelandt S, Didelez V. Improving the robustness and efficiency of covariate-adjusted linear instrumental variable estimators. Scandinavian Journal of Statistics, Theory and Applications. 2018;45(4):941-961.
https://doi.org/10.1111/sjos.12329 - Farewell D, Huang C, Didelez V. Ignorability for general longitudinal data. Biometrika. 2017;104(2):317-326.
https://doi.org/10.1093/biomet/asx020 Book chapters
- Didelez V. Causal concepts and graphical models. In: Maathuis M, Drton M, Lauritzen SL, Wainwright M, editors. Handbook of graphical models. Boston: CRC Press. 2018. S. 353-380.
- Didelez V, Evans R. Causal inference from case-control studies. In: Borgan O, Breslow N, Chatterjee N, Gail M, Scott A, Wild C, editors. Handbook of statistical methods for case-control studies. Boca Raton: Chapman & Hall/CRC. 2018. S. 87-115.
Commentaries
- Didelez V. Discussion on 'Causal inference by using invariant prediction: Identification and confidence intervals' by Peters, Bühlmann, Meinshausen. Journal of the Royal Statistical Society. Series B (Statistical Methodology). 2016;78(5):990-991.
https://doi.org/10.1111/rssb.12167.
For further publications please follow this link:
Prizes and awards
- Eingeladene Teilnehmerin, Konferenz "Foundations and New Horizons for Causal Inference", Mai 2019
Mathematical Research Institute Oberwolfach (2019) - Eingeladene Rednerin und Teilnehmerin, Workshop und 1-monatiger Forschungsaufenthalt
Centre de Recherches Mathematiques (CRM) in Montreal/Canada (2016) - Eingeladene IMS Medallion lecture at the 9th World Congress of Probability and Statistics, Toronto
Institute of Mathematical Statistics (IMS), Beachwood, Ohio/USA (2016)
The responsibility for the content of this page lies with Vanessa Didelez.