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
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 // journal-article
Discussion of 'Experimental Designs for Identifying Causal Mechanisms' by Imai, Tingley, Yamamoto
DOI:
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 // journal-article
"Imagine a can opener"--the magic of principal stratum analysis
The international journal of biostatistics
DOI: 10.1515/1557-4679.1391
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
Simulating from marginal structural models with time-dependent confounding
Statistics in medicine
DOI: 10.1002/sim.5472
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 // 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
Re: "credible mendelian randomization studies: approaches for evaluating the instrumental variable assumptions"
American journal of epidemiology
DOI: 10.1093/aje/kws250
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
Nonparametric bounds for the causal effect in a binary instrumental-variable model
Stata Journal
DOI:
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
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
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
2010 // journal-article
Graphical models for inference under outcome dependent sampling
Statistical Science