High Profile Area at the

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© BIPS
© BIPS
Prof. Vanessa Didelez
  • Faculty: Faculty 3 - Mathematics & Computer Science
  • Subject area: Statistik (Causal Learning and Inference, Time-to-Event Data, Observational Studies)
  • Office: Leibniz Institute for Prevention Research and Epidemiology - BIPS, Department of Biometry & IT

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

Ecosystem

Member of the research focus "Minds, Media, Machines"
Research assistant, Department of Biometry and IT
Member of the Lifespan AI work program
Member of the Data Science Center (DSC)
Publications
2011 // Journal article

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

The Stata Journal

https://doi.org/10.1177/1536867x1101100302
Feb 2010 // Journal article

Assumptions of IV Methods for Observational Epidemiology

Statistical Science

Vanessa Didelez; Sha Meng; Nuala A. Sheehan
https://doi.org/10.1214/09-sts316
2010 // Journal article

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

https://doi.org/10.1002/sim.4048
2010 // Journal article

Graphical models for inference under outcome dependent sampling

Statistical Science

https://doi.org/10.1214/10-sts340
2010 // Journal article

Identifying the consequences of dynamic treatment strategies: A decision theoretic overview

Statistics Surveys

https://doi.org/10.1214/10-ss081
2010 // Journal article

On Granger causality and the effect of interventions in time series

Lifetime data analysis

https://doi.org/10.1007/s10985-009-9143-3
2008 // Journal article

Graphical models for marked point processes based on local independence

Journal of the Royal Statistical Society, Series B

https://doi.org/10.1111/j.1467-9868.2007.00634.x
2008 // Book chapter

Identifying optimal sequential decisions

Proceedings of the 24th Annual conference on Uncertainty in Artificial Intelligence

2008 // Journal article

Mendelian randomization and causal inference in observational epidemiology

PLoS medicine

https://doi.org/10.1371/journal.pmed.0050177
Aug. 2007 // Journal article

Mendelian randomization as an instrumental variable approach to causal inference

Statistical Methods in Medical Research

2007 // Journal article

Discussion of 'Analysis of longitudinal data with drop-out: objectives, assumptions and a proposal' by Diggle, Farewell, Henderson

Journal of the Royal Statistical Society, Series C (Applied Statistics)

2007 // Journal article

Discussion on the paper by Diggle, Farewell and Henderson

Applied statistics

2007 // Journal article

Graphical models for composable finite Markov processes

Scandinavian Journal of Statistics

https://doi.org/10.1111/j.1467-9469.2006.00528.x
2007 // Book chapter

Mendelian randomization: Why epidemiology needs a formal language for causality

Causality and Probability in the Sciences

2007 // Journal article

Mendelian randomization as an instrumental variable approach to causal inference

Statistical methods in medical research

https://doi.org/10.1177/0962280206077743
2007 // Book chapter

Statistical causality

Consilience. Interdisplinary Communications

Mar 2006 // Journal article

Modifications of the Bonferroni-Holm procedure for a multi-way ANOVA

Statistical Papers

Vanessa Didelez; Iris Pigeot; Patricia Walter
https://doi.org/10.1007/s00362-005-0283-6
2006 // Edited book

Direct and indirect effects of sequential treatments

In Proc. 22nd Annual Conference on Uncertainty in Artificial Intelligence (2006), edited by R. Dechter and T. S. Richardson. AUAI Press, Arlington, Virginia, 138-146

2006 // Book chapter

Direct and indirect effects of sequential treatments

Proceedings of the 22nd Annual conference on Uncertainty in Artificial Intelligence

2006 // Journal article

Discussion of 'Semiparametric analysis of case series data' by Farrington and Whitaker

Journal of the Royal Statistical Society, Series C (Applied Statistics)

July 2005 // Journal article

Latent variable analysis and partial correlation graphs for multivariate time series

Statistics & Probability Letters

Roland Fried; Vanessa Didelez
https://doi.org/10.1016/j.spl.2005.04.002
2005 // Journal article

Latent variable analysis and partial correlation graphs for multivariate time series

Statistics & probability letters

2005 // Other

Partial Correlation Graphs and Dynamic Latent Variables for Physiological Time Series

Innovations in Classification, Data Science, and Information Systems

https://doi.org/10.1007/3-540-26981-9_30
2005 // Book chapter

Partial correlation graphs and dynamic latent variables for physiological time series

Innovations in classification, data science, and information systems

2004 // Journal article

BOOK REVIEWS: 2

Biometrics

Vanessa Didelez
https://doi.org/10.1111/j.0006-341x.2004.262_2.x