Personal information

causal inference, graphical models, time-to-event data, epidemiology, statistics

Activities

Employment (7)

University of Bremen: Bremen, DE

2016-07 to present | Professor of Statistics and Causal Inference (Faculty 03: Mathematics and Computer Science)
Employment
Source: Self-asserted source
Vanessa Didelez

Leibniz Institute for Prevention Research and Epidemiology - BIPS: Bremen, DE

2016-07 to present | Deputy head of department (Biometry and Data Management)
Employment
Source: Self-asserted source
Vanessa Didelez

University of Bristol: Bristol, Bristol, GB

2013 to 2016-06 | Reader in Statistics (School of Mathematics)
Employment
Source: Self-asserted source
Vanessa Didelez

University of Bristol: Bristol, Bristol, GB

2009 to 2013 | Senior Lecturer (School of Mathematics)
Employment
Source: Self-asserted source
Vanessa Didelez

University of Bristol: Bristol, Bristol, GB

2007 to 2009 | Lecturer (School of Mathematics)
Employment
Source: Self-asserted source
Vanessa Didelez

University College London: London, London, GB

2001 to 2007 | Lecturer (Department of Statistical Science)
Employment
Source: Self-asserted source
Vanessa Didelez

Ludwig Maximilian University of Munich: Munich, DE

1997 to 2000 | Research fellow (Department of Statistics)
Employment
Source: Self-asserted source
Vanessa Didelez

Education and qualifications (2)

University of Dortmund: Dortmund, DE

2000 to 2000-12-15 | PhD (Dr rer.nat.) (Department of Statistics)
Education
Source: Self-asserted source
Vanessa Didelez

University of Dortmund: Dortmund, DE

1990 to 1996 | Diploma in "Statistics with Psychology" (Department of Statistics)
Education
Source: Self-asserted source
Vanessa Didelez

Professional activities (1)

Institute of Mathematical Statistics: Toronto, CA

2016-07-14 | Medallion Lecture (World Congress)
Distinction
Source: Self-asserted source
Vanessa Didelez

Funding (7)

Lifespan AI - Project C2: Causal Discovery across the Lifespan

2022-01-01 to present | Grant
Deutsche Forschungsgemeinschaft (Bonn, DE)
GRANT_NUMBER: 498608588
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

Causal Discovery for Cohort Data

2017-01-01 to present | Grant
German Research Foundation (Bonn, DE)
GRANT_NUMBER: 389238860
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

SFB 1320:  EASE – Everyday Activity Science and Engineering

2017-01-01 to present | Grant
German Research Foundation (Bonn, DE)
GRANT_NUMBER: 329551904
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

Development of a multilevel and mixture-model framework for modelling epigenetic changes over time (resubmission)

2016-01-29 to 2018-11-21 | Grant
Medical Research Council (London, GB)
GRANT_NUMBER: MR/M025020/1
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

GRK 2224:  Pi³ : Parameter Identification - Analysis, Algorithms, Implementations

2016-01-01 to present | Grant
German Research Foundation (Bonn, DE)
GRANT_NUMBER: 281474342
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

Academy for PhD Training in Statistics (APTS) - Follow on Funding

2011-09-30 to 2016-09-29 | Grant
Engineering and Physical Sciences Research Council (Swindon, GB)
GRANT_NUMBER: EP/J500896/1
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

Infering Epidemiological Causality using Mendelian Randomisation

2007-11-01 to 2011-04-29 | Grant
Medical Research Council (London, GB)
GRANT_NUMBER: G0601625
Source: Self-asserted source
Vanessa Didelez via DimensionsWizard

Works (50 of 84)

Items per page:
Page 1 of 2

Discovering the Causal Structure of Haptic Material Perception

2025 | Book chapter
Contributors: Jaime Maldonado; Christoph Zetzsche; Vanessa Didelez
Source: check_circle
Crossref

A structural mean modelling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations.

2025-02-14 | Other
Contributors: Grace Power; Tom Palmer; Nicole Warrington; Jon Heron; Tom Richardson; Vanessa Didelez; Kate Tilling; George Davey-Smith; Eleanor Sanderson
Source: check_circle
Crossref

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

Journal of the Royal Statistical Society Series B: Statistical Methodology
2025-02-10 | Journal article
Contributors: Kjetil Røysland; Pål C Ryalen; Mari Nygård; Vanessa Didelez
Source: check_circle
Crossref

13-Year colorectal cancer risk after lower-quality, higher-quality and no screening colonoscopy: a cohort study

Journal of Clinical Epidemiology
2024-12 | Journal article
Contributors: Sarina Schwarz; Malte Braitmaier; Christian Pox; Bianca Kollhorst; Vanessa Didelez; Ulrike Haug
Source: check_circle
Crossref

Invited commentary: where do the causal DAGS come from?

American Journal of Epidemiology
2024-08-05 | Journal article
Contributors: Vanessa Didelez
Source: check_circle
Crossref

Authors’ reply to the Discussion of ‘Parameterizing and simulating from causal models’

Journal of the Royal Statistical Society Series B: Statistical Methodology
2024-07-12 | Journal article
Contributors: Robin J Evans; Vanessa Didelez
Source: check_circle
Crossref

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

2024-05-01 | Preprint
Contributors: Malte Braitmaier; Sarina Schwarz; Vanessa Didelez; Ulrike Haug
Source: check_circle
Crossref

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

Epidemiology
2024-01 | Journal article
Contributors: Vanessa Didelez; Ulrike Haug; Xabier Garcia-Albeniz
Source: check_circle
Crossref

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

Biometrical Journal
2024-01 | Journal article
Contributors: Moritz Hanke; Louis Dijkstra; Ronja Foraita; Vanessa Didelez
Source: check_circle
Crossref

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
2023-08 | Journal article
Contributors: Elinor Curnow; James R. Carpenter; Jon E. Heron; Rosie P. Cornish; Stefan Rach; Vanessa Didelez; Malte Langeheine; Kate Tilling
Source: check_circle
Crossref

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

Journal of Clinical Epidemiology
2022-09 | Journal article
Contributors: Malte Braitmaier; Sarina Schwarz; Bianca Kollhorst; Carlo Senore; Vanessa Didelez; Ulrike Haug
Source: check_circle
Crossref

Emulierung von „target trials“ mit Real-world-Daten

Prävention und Gesundheitsförderung
2022-07-29 | Journal article
Contributors: Malte Braitmaier; Vanessa Didelez
Source: check_circle
Crossref

On the logic of collapsibility for causal effect measures

Biometrical Journal
2022-02 | Journal article
Contributors: Vanessa Didelez; Mats Julius Stensrud
Source: check_circle
Crossref

Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang

Biometrics
2021-12 | Journal article
Contributors: Isabel R. Fulcher; Ilya Shpitser; Vanessa Didelez; Kali Zhou; Daniel O. Scharfstein
Source: check_circle
Crossref

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

Human Genetics
2019-05-27 | Journal article
Part of ISSN: 0340-6717
Part of ISSN: 1432-1203
Source: Self-asserted source
Vanessa Didelez

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

Biometrical Journal
2019-02-19 | Journal article
Part of ISSN: 0323-3847
Source: Self-asserted source
Vanessa Didelez

Constrained Instruments and their Application to Mendelian Randomization with Pleiotropy

Genetic Epidemiology
2019-01-12 | Other
Source: Self-asserted source
Vanessa Didelez
grade
Preferred source (of 2)‎

Causal concepts and graphical models

Handbook of graphical models
2018 | Book chapter
Source: Self-asserted source
Vanessa Didelez

Sensitivity of treatment recommendations to bias in network meta-analysis

Journal of the Royal Statistical Society: Series A (Statistics in Society)
2018 | Journal article
Source: Self-asserted source
Vanessa Didelez

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

2018-11-21 | Software
Source: Self-asserted source
Vanessa Didelez

Covariate selection strategies for causal inference: Classification and comparison

Biometrical Journal
2018-10-10 | Journal article
Part of ISSN: 0323-3847
Source: Self-asserted source
Vanessa Didelez

Defining causal mediation with a longitudinal mediator and a survival outcome

Lifetime Data Analysis
2018-09-14 | Journal article
Part of ISSN: 1380-7870
Part of ISSN: 1572-9249
Source: Self-asserted source
Vanessa Didelez

Causal Inference from Case-Control Studies

Handbook of Statistical Methods for Case-Control Studies
2018-07-02 | Book chapter
Source: Self-asserted source
Vanessa Didelez

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

Scandinavian Journal of Statistics
2018-05 | Journal article
Part of ISSN: 0303-6898
Contributors: Stijn Vansteelandt; Vanessa Didelez
Source: Self-asserted source
Vanessa Didelez via Crossref Metadata Search

Ignorability for general longitudinal data

Biometrika
2017 | Journal article
Source: Self-asserted source
Vanessa Didelez

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

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
2017 | Journal article
Source: Self-asserted source
Vanessa Didelez

Commentary: Should the analysis of observational data always be preceded by specifying a target experimental trial?

International journal of epidemiology
2016 | Journal article
Source: Self-asserted source
Vanessa Didelez

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)
2016-11 | Journal article
Part of ISSN: 1369-7412
Source: Self-asserted source
Vanessa Didelez

Inequalities on partial correlations in Gaussian graphical models containing star shapes

Communications in Statistics - Theory and Methods
2016-02-08 | Journal article
Part of ISSN: 0361-0926
Contributors: Edmund Jones; Vanessa Didelez
Source: Self-asserted source
Vanessa Didelez via Crossref Metadata Search

Causal reasoning for events in continuous time: a decision-theoretic approach

Proceedings of the UAI 2015 Conference on Advances in Causal Inference-Volume 1504
2015 | Conference paper
Source: Self-asserted source
Vanessa Didelez

Recovering from selection bias using marginal structure in discrete models

Proceedings of the 31st Annual Conference on Uncertainty in Artificial Intelligence - Workshop on Advances in Causal Inference
2015 | Journal article
Source: Self-asserted source
Vanessa Didelez

Comparison of statistical methods for finding network motifs

Statistical applications in genetics and molecular biology
2014 | Journal article
Source: Self-asserted source
Vanessa Didelez

Lack of identification in semiparametric instrumental variable models with binary outcomes

American journal of epidemiology
2014 | Journal article
Source: Self-asserted source
Vanessa Didelez
grade
Preferred source (of 2)‎

Editorial

Statistics in Biosciences
2014-11 | Journal article
Part of ISSN: 1867-1764
Contributors: Robin Henderson; Vanessa Didelez; William Havercroft
Source: Self-asserted source
Vanessa Didelez via Crossref Metadata Search

Basic Concepts of Causal Mediation Analysis and Some Extensions

Talk at Symposium on Causal Mediation Analysis, Ghent
2013 | Conference paper
Source: Self-asserted source
Vanessa Didelez

Discussion of 'Experimental Designs for Identifying Causal Mechanisms' by Imai, Tingley, Yamamoto

2013 | Journal article
Source: Self-asserted source
Vanessa Didelez

Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies

Statistics in medicine
2013 | Journal article
Source: Self-asserted source
Vanessa Didelez

"Imagine a can opener"--the magic of principal stratum analysis

The international journal of biostatistics
2012 | Journal article
Source: Self-asserted source
Vanessa Didelez

Causal reasoning in graphical time series models

UAI 2007, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada, July 19-22, 2007
2012 | Book chapter
Source: Self-asserted source
Vanessa Didelez

G-estimation for Accelerated Failure Time Models

Modern Methods for Epidemiology
2012 | Other
Part of ISBN: 9789400730236
Contributors: Kate Tilling; Jonathan A. C. Sterne; Vanessa Didelez
Source: Self-asserted source
Vanessa Didelez via Crossref Metadata Search

On the choice of parameterisation and priors for the Bayesian analyses of Mendelian randomisation studies

Statistics in medicine
2012 | Journal article
Source: Self-asserted source
Vanessa Didelez

Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions"

American journal of epidemiology
2012 | Journal article
Source: Self-asserted source
Vanessa Didelez

Simulating from marginal structural models with time-dependent confounding

Statistics in medicine
2012 | Journal article
Source: Self-asserted source
Vanessa Didelez

Assessing Dynamic Treatment Strategies

Causality
2012-06 | Other
Part of ISBN: 9781119945710
Part of ISSN: 1940-6347
Contributors: Carlo Berzuini; Philip Dawid; Vanessa Didelez
Source: Self-asserted source
Vanessa Didelez via Crossref Metadata Search

Commentary: Can 'many weak' instruments ever be 'strong'?

International journal of epidemiology
2011 | Journal article
Source: Self-asserted source
Vanessa Didelez
grade
Preferred source (of 2)‎

Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses

American journal of epidemiology
2011 | Journal article
Source: Self-asserted source
Vanessa Didelez

Mendelian randomisation: a tool for assessing causality in observational epidemiology

Methods in molecular biology (Clifton, N.J.)
2011 | Journal article
Source: Self-asserted source
Vanessa Didelez

Nonparametric bounds for the causal effect in a binary instrumental-variable model

Stata Journal
2011 | Journal article
Source: Self-asserted source
Vanessa Didelez

Nonparametric bounds for the causal effect in a binary instrumental-variable model

The Stata Journal
2011 | Journal article
Source: Self-asserted source
Vanessa Didelez

A sequential Cox approach for estimating the causal effect of treatment in the presence of time-dependent confounding applied to data from the Swiss HIV Cohort Study

Statistics in medicine
2010 | Journal article
Source: Self-asserted source
Vanessa Didelez
Items per page:
Page 1 of 2

Peer review (2 reviews for 2 publications/grants)

Review activity for BMC medical research methodology (1)
Review activity for European journal of epidemiology. (1)