High Profile Area at the

© BIPS
© BIPS
Prof. Vanessa Didelez

Further information:

Awards and Memberships:

  • Member of the ISCB and the IBC
  • Action Editor Journal of Machine Learning Research
  • Scientific Program Chair Causal Learning and Reasoning (CLeaR2024)
  • Scientific Program Chair ISCB 2025
Publications
Jun 2024 // other

Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses

Kjetil Roysland; Pål Christie Ryalen; Mari Nygaard; Vanessa Didelez

Jun 2024 // journal-article

Authors' reply to the Discussion of "Parameterizing and Simulating from Causal Models"

Journal of the Royal Statistical Society Series B: Statistical Methodology

Robin J Evans; Vanessa Didelez

May 2024 // preprint

Misleading and avoidable: design-induced biases in observational studies evaluating cancer screening -- the example of site-specific effectiveness of screening colonoscopy

Malte Braitmaier; Sarina Schwarz; Vanessa Didelez; Ulrike Haug

Apr 2024 // journal-article

Invited commentary: where do the causal DAGS come from?

American Journal of Epidemiology

Vanessa Didelez

Jan 2024 // journal-article

Re: Are Target Trial Emulations the Gold Standard for Observational Studies?

Epidemiology

Vanessa Didelez; Ulrike Haug; Xabier Garcia-Albeniz

Jan 2024 // journal-article

Variable selection in linear regression models: Choosing the best subset is not always the best choice

Biometrical Journal

Moritz Hanke; Louis Dijkstra; Ronja Foraita; Vanessa Didelez

Aug 2023 // journal-article

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

Elinor Curnow; James R. Carpenter; Jon E. Heron; Rosie P. Cornish; Stefan Rach; Vanessa Didelez; Malte Langeheine; Kate Tilling

Sep 2022 // journal-article

Screening colonoscopy similarly prevented distal and proximal colorectal cancer: a prospective study among 55-69-year-olds

Journal of Clinical Epidemiology

Malte Braitmaier; Sarina Schwarz; Bianca Kollhorst; Carlo Senore; Vanessa Didelez; Ulrike Haug

Jul 2022 // journal-article

Emulation of "target trials" with real-world data

Prevention and health promotion

Malte Braitmaier; Vanessa Didelez

Feb 2022 // journal-article

On the logic of collapsibility for causal effect measures

Biometrical Journal

Vanessa Didelez; Mats Julius Stensrud

Dec 2021 // journal-article

Discussion on "Causal mediation of semicompeting risks" by Yen-Tsung Huang

Biometrics

Isabel R. Fulcher; Ilya Shpitser; Vanessa Didelez; Kali Zhou; Daniel O. Scharfstein

May 2019 // journal-article

Epidemiology, genetic epidemiology and Mendelian randomization: more need than ever to attend to detail

Human Genetics


Feb 2019 // journal-article

Time-dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model

Biometrical Journal


Jan 2019 // other

Constrained Instruments and their Application to Mendelian Randomization with Pleiotropy

Genetic Epidemiology

DOI: 10.1101/227454

Nov 2018 // software

bpbounds: Nonparametric bounds for the average causal effect due to Balke and Pearl and extensions

DOI:

Oct 2018 // journal-article

Covariate selection strategies for causal inference: Classification and comparison

Biometrical Journal


Sep 2018 // journal-article

Defining causal mediation with a longitudinal mediator and a survival outcome

Lifetime Data Analysis


Jul 2018 // book-chapter

Causal Inference from Case-Control Studies

Handbook of Statistical Methods for Case-Control Studies

DOI:

May 2018 // journal-article

Improving the robustness and efficiency of covariate-adjusted linear instrumental variable estimators

Scandinavian Journal of Statistics

Stijn Vansteelandt; Vanessa Didelez
DOI: 10.1111/sjos.12329

2018 // journal-article

Sensitivity of treatment recommendations to bias in network meta-analysis

Journal of the Royal Statistical Society: Series A (Statistics in Society)


2018 // book-chapter

Causal concepts and graphical models

Handbook of graphical models

DOI:

2017 // journal-article

Ignorability for general longitudinal data

Biometrics

DOI: 10.1093/biomet/asx020

2017 // journal-article

Thinning a Triangulation of a Bayesian Network or Undirected Graph to Create a Minimal Triangulation

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems


Nov 2016 // journal-article

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)


Feb 2016 // journal-article

Inequalities on partial correlations in Gaussian graphical models containing star shapes

Communications in Statistics - Theory and Methods

Edmund Jones; Vanessa Didelez
DOI: 10.1080/03610926.2014.953696