Wissenschaftsschwerpunkt der

© BIPS
© BIPS
Prof. Vanessa Didelez

Weitere Informationen:

Awards and Memberships:

  • Mitglied der ISCB und der IBC
  • Action Editor Journal of Machine Learning Research
  • Scientific Program Chair Causal Learning and Reasoning (CLeaR2024)
  • Scientific Program Chair ISCB 2025
Publikationen
2016 // journal-article

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

International journal of epidemiology

DOI: 10.1093/ije/dyw032

2015 // conference-paper

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

Proceedings of the UAI 2015 Conference on Advances in Causal Inference-Volume 1504

DOI:

2015 // journal-article

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

DOI:

Nov 2014 // journal-article

Editorial

Statistics in Biosciences

Robin Henderson; Vanessa Didelez; William Havercroft
DOI: 10.1007/s12561-014-9121-5

2014 // journal-article

Comparison of statistical methods for finding network motifs

Statistical applications in genetics and molecular biology

DOI: 10.1515/sagmb-2013-0017

2014 // journal-article

Lack of identification in semiparametric instrumental variable models with binary outcomes

American journal of epidemiology

DOI: 10.1093/aje/kwu107

2013 // journal-article

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

DOI:

2013 // journal-article

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

Statistics in medicine

DOI: 10.1002/sim.5659

2013 // conference-paper

Basic Concepts of Causal Mediation Analysis and Some Extensions

Talk at Symposium on Causal Mediation Analysis, Ghent

DOI:

Jun 2012 // other

Assessing Dynamic Treatment Strategies

Causality

Carlo Berzuini; Philip Dawid; Vanessa Didelez
DOI: 10.1002/9781119945710.ch8

2012 // book-chapter

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

DOI:

2012 // journal-article

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

American journal of epidemiology

DOI: 10.1093/aje/kws250

2012 // other

G-estimation for Accelerated Failure Time Models

Modern Methods for Epidemiology

Kate Tilling; Jonathan A. C. Sterne; Vanessa Didelez
DOI: 10.1007/978-94-007-3024-3_14

2012 // journal-article

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

The international journal of biostatistics

DOI: 10.1515/1557-4679.1391

2012 // journal-article

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

Statistics in medicine

DOI: 10.1002/sim.4499

2012 // journal-article

Simulating from marginal structural models with time-dependent confounding

Statistics in medicine

DOI: 10.1002/sim.5472

2011 // journal-article

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

The Stata Journal


2011 // journal-article

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

International journal of epidemiology

DOI: 10.1093/ije/dyr017

2011 // journal-article

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

Stata Journal

DOI:

2011 // journal-article

Mendelian randomisation: a tool for assessing causality in observational epidemiology

Methods in molecular biology (Clifton, N.J.)

DOI: 10.1007/978-1-60327-416-6_12

2011 // journal-article

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

American journal of epidemiology

DOI: 10.1093/aje/kwr026

Feb 2010 // journal-article

Assumptions of IV Methods for Observational Epidemiology

Statistical Science

Vanessa Didelez; Sha Meng; Nuala A. Sheehan
DOI: 10.1214/09-sts316

2010 // journal-article

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

Statistics Surveys


2010 // journal-article

Graphical models for inference under outcome dependent sampling

Statistical Science


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

DOI: 10.1002/sim.4048