2010 // journal-article
On Granger causality and the effect of interventions in time series
Lifetime data analysis
DOI: 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
2008 // journal-article
Mendelian randomisation and causal inference in observational epidemiology
PLoS medicine
DOI: 10.1371/journal.pmed.0050177
2008 // book-chapter
Identifying optimal sequential decisions
Proceedings of the 24th Annual conference on Uncertainty in Artificial Intelligence
DOI:
Aug 2007 // journal-article
Mendelian randomization as an instrumental variable approach to causal inference
Statistical Methods in Medical Research
DOI:
2007 // book-chapter
Statistical causality
Consilience. Interdisplinary Communications
DOI:
2007 // book-chapter
Mendelian randomisation: Why epidemiology needs a formal language for causality
Causality and Probability in the Sciences
DOI:
2007 // journal-article
Discussion of 'Analysis of longitudinal data with drop-out: objectives, assumptions and a proposal' bei Diggle, Farewell, Henderson
Journal of the Royal Statistical Society, Series C (Applied Statistics)
DOI:
2007 // journal-article
Mendelian randomization as an instrumental variable approach to causal inference
Statistical methods in medical research
DOI: 10.1177/0962280206077743
2007 // journal-article
Graphical models for composable finite Markov processes
Scandinavian Journal of Statistics
2007 // journal-article
Discussion on the paper by Diggle, Farewell and Henderson
Applied statistics
DOI:
Mar 2006 // journal-article
Modifications of the Bonferroni-Holm procedure for a multi-way ANOVA
Statistical Papers
Vanessa Didelez; Iris Pigeot; Patricia Walter
DOI: 10.1007/s00362-005-0283-6
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)
DOI:
2006 // book-chapter
Direct and indirect effects of sequential treatments
Proceedings of the 22nd Annual conference on Uncertainty in Artificial Intelligence
DOI:
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
DOI:
Jul 2005 // journal-article
Latent variable analysis and partial correlation graphs for multivariate time series
Statistics & Probability Letters
Roland Fried; Vanessa Didelez
DOI: 10.1016/j.spl.2005.04.002
2005 // book-chapter
Partial correlation graphs and dynamic latent variables for physiological time series
Innovations in classification, data science, and information systems
DOI:
2005 // journal-article
Latent variable analysis and partial correlation graphs for multivariate time series
Statistics & probability letters
DOI:
2005 // other
Partial Correlation Graphs and Dynamic Latent Variables for Physiological Time Series
Innovations in Classification, Data Science, and Information Systems
2004 // journal-article
Collapsibility of Graphical CG-Regression Models
Scandinavian Journal of Statistics
Vanessa Didelez; David Edwards
DOI: 10.1111/j.1467-9469.2004.00405.x
2004 // journal-article
BOOK REVIEWS: 2
Biometrics
Vanessa Didelez
DOI: 10.1111/j.0006-341x.2004.262_2.x
Jun 2003 // journal-article
Decomposability and selection of graphical models for multivariate time series
Biometrika
May 2003 // book-chapter
Comments on graphical models for stochastic processes
Highly structured stochastic systems
DOI:
2003 // journal-article
Optimal dynamic treatment regimes - Discussion on the paper by Murphy
Journal of the Royal Statistical Society, Series B (Statistical Methodology)
DOI:
2003 // journal-article
Graphical models and sequential decisions
Proceedings of the 54th session of the ISI
DOI:
