Prof. Dr. Vanessa Didelez

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

• Articles with peer-review

• Aalen OO, Stensrud MJ, Didelez V, Daniel R, Roysland K, Strohmaier S. Time-dependent mediators in survival analysis: Modelling 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; (Epub 2020 Apr 18).
  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
• 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. 2020; (Epub 2020 May 15).
  https://doi.org/10.1080/01621459.2020.1765783
• 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:

• Further publications