Prof. Dr. rer. nat. Vanessa Didelez

• Deutsche Region der Internationalen Biometrischen Gesellschaft (IBS-DR)
• International Society for Clinical Biostatistics (ISCB)

• Der Intelligente Digitale Leitlinien-Editor (IDEAL): Anwendung kausaler Inferenz zur Evidenzgewinnung mittels emulierter klinischer Studien
• Graduiertenkolleg π³: Parameter Identifikation - Analyse, Agorithmen, Anwendungen
• KI-FOR Lifespan AI: Von longitudinalen Gesundheitsdaten zur Inferenz im Lebensverlauf
• Sonderforschungsbereich 1320: Wissenschaft der Alltagsaktivitäten - Analytische und generative Modellierung

• Honorary Member of University of Bristol - personal page
• Honorary Member of University of Bristol - official page

Ausgewählte BIPS-Veröffentlichungen

• Zeitschriftenartikel mit peer-review

• Evans R, Didelez V. Parameterizing and simulating from causal models. Journal of the Royal Statistical Society. Series B (Statistical Methodology). 2024;86(3):535-568.
  https://doi.org/10.1093/jrsssb/qkad058
• Foraita R, Witte J, Börnhorst C, Gwozdz W, Pala V, Lissner L, Lauria F, Reisch LA, Molnár D, De Henauw S, Moreno LA, Veidebaum T, Tornaritis M, Pigeot I, Didelez V. A longitudinal causal graph analysis investigating modifiable risk factors and obesity in a European cohort of children and adolescents. Scientific Reports. 2024;14:6822.
  https://doi.org/10.1038/s41598-024-56721-y
• Hanke M, Dijkstra L, Foraita R, Didelez V. Variable selection in linear regression models: Choosing the best subset is not always the best choice. Biometrical Journal. 2024;66(1):2200209.
  https://doi.org/10.1002/bimj.202200209
• Andrews R, Shpitser I, Didelez V, Chaves PH, Lopez O, Carlson MC. Examining the causal mediating role of cardiovascular disease on the effect of subclinical cardiovascular disease on cognitive impairment via separable effects. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences. 2023;78(7):1172-1178.
  https://doi.org/10.1093/gerona/glad077
  https://repository.publisso.de/resource/frl:6453367
• Börnhorst C, Pigeot I, De Henauw S, Formisano A, Lissner L, Molnár D, Moreno LA, Tornaritis M, Veidebaum T, Vrijkotte T, Didelez V, Wolters M, on behalf of the GrowH! consortium. The effects of hypothetical behavioral interventions on the 13-year incidence of overweight/obesity in children and adolescents. International Journal of Behavioral Nutrition and Physical Activity. 2023;20:100.
  https://doi.org/10.1186/s12966-023-01501-6
• Curnow E, Carpenter JR, Heron JE, Cornish RP, Rach S, Didelez V, Langeheine M, Tilling K. Multiple imputation of missing data under missing at random: Compatible imputation models are not sufficient to avoid bias if they are mis-specified. Journal of Clinical Epidemiology. 2023;160:100-109.
  https://doi.org/10.1016/j.jclinepi.2023.06.011
• Rojas-Saunero LP, Young JG, Didelez V, Ikram A, Swanson SA. Considering questions before methods in dementia research with competing events and causal goals. American Journal of Epidemiology. 2023;192(8):1415-1423.
  https://doi.org/10.1093/aje/kwad090
• Braitmaier M, Kollhorst B, Heinig M, Langner I, Czwikla J, Heinze F, Buschmann L, Minnerup H, García-Albéniz X, Hense H-W, Karch A, Zeeb H, Haug U, Didelez V. Effectiveness of mammography screening on breast cancer mortality - A study protocol for emulation of target trials using German health claims data. Clinical Epidemiology. 2022;14:1293-1303.
  https://doi.org/10.2147/CLEP.S376107
• Braitmaier M, Didelez V. Emulierung von Target Trials mit Real World Daten - Ein allgemeines Prinzip, um den Herausforderungen von Beobachtungsdaten zu begegnen. Prävention und Gesundheitsförderung. 2022;
  https://doi.org/10.1007/s11553-022-00967-9
• Braitmaier M, Schwarz S, Kollhorst B, Senore C, Didelez V, Haug U. Screening colonoscopy similarly prevented distal and proximal colorectal cancer: A prospective study among 55-69-year-olds. Journal of Clinical Epidemiology. 2022;149:118-126.
  https://doi.org/10.1016/j.jclinepi.2022.05.024
• Didelez V, Stensrud MJ. On the logic of collapsibility for causal effect measures. Biometrical Journal. 2022;64(2):235-242.
  https://doi.org/10.1002/bimj.202000305
• Morris TT, Heron J, Sanderson E, Smith GD, Didelez V, Tilling K. Interpretation of Mendelian randomization using a single measure of an exposure that varies over time. International Journal of Epidemiology. 2022;51(6):1899-1909.
  https://doi.org/10.1093/ije/dyac136
• 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. 2022;117(537):175-183.
  https://doi.org/10.1080/01621459.2020.1765783
• Witte J, Foraita R, Didelez V. Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data. Statistics in Medicine. 2022;41(23):4716-4743.
  https://doi.org/10.1002/sim.9535
• Andrews R, Didelez V. Insights into the cross-world independence assumption of causal mediation analysis. Epidemiology. 2021;32(2):209-219.
  https://doi.org/10.1097/EDE.0000000000001313
  https://repository.publisso.de/resource/frl%3A6425953
• Börnhorst C, Reinders T, Rathmann W, Bongaerts B, Haug U, Didelez V, Kollhorst B. Avoiding time-related biases: A feasibility study on antidiabetic drugs and pancreatic cancer applying the parametric g-formula to a large German healthcare database. Clinical Epidemiology. 2021;(13):1027-1038.
  https://doi.org/10.2147/CLEP.S328342
• Pigeot I, Kollhorst B, Didelez V. Nutzung von Sekundärdaten für die pharmakoepidemiologische Forschung - Machen wir das Beste draus. Das Gesundheitswesen. 2021;83(S 02):S69-S76.
  https://dx.doi.org/10.1055/a-1633-3827
  https://repository.publisso.de/resource/frl%3A6431669
• Stensrud MJ, Hernán MA, Tchetgen Tchetgen E, Robins JM, Didelez V, Young JG. A generalized theory of separable effects in competing event settings. Lifetime Data Analysis. 2021;27(4):588-631.
  https://doi.org/10.1007/s10985-021-09530-8
• 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
  https://ui.adsabs.harvard.edu/abs/2020arXiv201113415A/abstract
• 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
• Witte J, Henckel L, Maathuis MH, Didelez V. On efficient adjustment in causal graphs. Journal of Machine Learning Research. 2020;21(246):1-45.
  http://jmlr.org/papers/v21/20-175.html
• 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
  https://researchonline.lshtm.ac.uk/id/eprint/4658753/
• Farewell D, Huang C, Didelez V. Ignorability for general longitudinal data. Biometrika. 2017;104(2):317-326.
  https://doi.org/10.1093/biomet/asx020

• Conference Proceedings

• Bang CW, Didelez V. Do we become wiser with time? On causal equivalence with tiered background knowledge. 2023.
  https://proceedings.mlr.press/v216/bang23a

• Letters

• Didelez V, Haug U, García-Albéniz X. Re: Are target trial emulations the gold standard for observational studies. Epidemiology. 2023;35(1):e3.
  https://doi.org/10.1097/EDE.0000000000001667

• Commentaries

• Didelez V. Invited commentary: Where do the causal DAGs come from. 2024.
  https://doi.org/10.1093/aje/kwae028
• Didelez V. Perspective on interviews with Heckman, Pearl, Robins and Rubin. 2022.
  http://doi.org/10.1353/obs.2022.0010
• Didelez V. Comment: Invariance, causality and robustness. 2020.
  https://doi.org/10.1214/20-STS768

• Buchbeiträge

• Didelez V. Causal concepts and graphical models. Boston. 2018.
• Didelez V, Evans R. Causal inference from case-control studies. Boca Raton. 2018.

• Vorträge bei wissenschaftlichen Tagungen (eingeladen)

• Didelez V. Causal estimands and interventions. Berkeley, USA. 2022.
• Didelez V. Introduction to causal discovery. Günzburg. 2022.
• Didelez V. Causal inference for survival outcomes: A censored edition. online presentation. 2021.
• Didelez V. Causal reasoning in survival and time-to-event analyses. online presentation. 2020.

• Weitere Publikationen

• Invited participant Simons Institute Program on Causality
  University of California, Simons Institue for the Theory of Computing, Berkeley, USA (2022)
• Eingeladene IMS Medallion lecture at the 9th World Congress of Probability and Statistics, Toronto
  Institute of Mathematical Statistics (IMS), Ohio/USA (2016)
• Invited participant at program "High-Dimensional Causal Inference and its Application to Genetics"
  Centre de Recherches Mathématiques (CRM), University of Montréal, Canada (2016)