Vanessa Didelez

4.0k citations

77 papers · 2.3k indexed · 1 hit paper · h-index 23

Impact in

Statistics and Probability top 0.5%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
Genetics top 2%
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock

Papers in ⓘ

Statistics and Probability 50
- Advanced Causal Inference Techniques 38
- Statistical Methods and Inference 23
- Statistical Methods and Bayesian Inference 16
- Statistical Methods in Clinical Trials 8
Artificial Intelligence 22
- Bayesian Modeling and Causal Inference 22

Co-authors: Nuala A. Sheehan (11 shared papers)Meng Sha (3 shared papers)Martin D. Tobin (1 shared paper)Paul R. Burton (1 shared paper)A. P. Dawid (5 shared papers)Jonathan A C Sterne (4 shared papers)Tom Palmer (5 shared papers)Michael Eichler (2 shared papers)
Journals: American Journal of Epidemiology (6 papers)Statistics in Medicine (6 papers)Biometrical Journal (5 papers)Journal of Clinical Epidemiology (3 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 papers)
Partner nations: Germany United Kingdom Netherlands

In The Last Decade

Vanessa Didelez

72 papers receiving 2.2k citations

Hit Papers

align trajectories log scale

Mendelian randomization as an instrumental variable approach to causal inference 2007 · 586 citations

Peers

Countries citing papers authored by Vanessa Didelez

Since Specialization

Citations

This map shows the geographic impact of Vanessa Didelez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vanessa Didelez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Didelez more than expected).

Fields of papers citing papers by Vanessa Didelez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa Didelez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vanessa Didelez. The network helps show where Vanessa Didelez may publish in the future.

Co-authors

The 25 scholars most cited alongside Vanessa Didelez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vanessa Didelez Line = papers co-authored together Vanessa Didelez links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Mendelian randomization as an instrumental variable approach to causal inference Statistical Methods in Medical Research ·Vanessa Didelez, Nuala A. Sheehan Hit paper breakdown →	2007	586
2	Mendelian Randomisation and Causal Inference in Observational Epidemiology PLoS Medicine ·Nuala A. Sheehan, Vanessa Didelez, Paul R. Burton, Martin D. Tobin	2008	263
3	Instrumental Variable Estimation of Causal Risk Ratios and Causal Odds Ratios in Mendelian Randomization Analyses American Journal of Epidemiology ·Tom Palmer, Jonathan A C Sterne, Roger Harbord, Debbie A. Lawlor, Nuala A. Sheehan, Meng Sha, Raquel Granell, George Davey Smith, Vanessa Didelez	2011	220
4	Assumptions of IV Methods for Observational Epidemiology Statistical Science ·Vanessa Didelez, Meng Sha, Nuala A. Sheehan	2010	145
5	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 ·Jon Michael Gran, Kjetil Røysland, Marcel Wolbers, Vanessa Didelez, Jonathan A C Sterne, Bruno Ledergerber, Hansjakob Furrer, Viktor von Wyl, Odd O. Aalen	2010	60
6	Separable Effects for Causal Inference in the Presence of Competing Events Journal of the American Statistical Association ·Mats Julius Stensrud, Jessica G. Young, Vanessa Didelez, James M. Robins, Miguel A. Hernán	2020	59
7	Direct and Indirect Effects of Sequential Treatments Explore Bristol Research ·Vanessa Didelez, A. P. Dawid, Sara Geneletti	2012	54
8	Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview Explore Bristol Research ·A. P. Dawid, Vanessa Didelez	2010	51
9	Survival Analysis Using S. Analysis of Time-to-Event Data Biometrics ·Vanessa Didelez	2004	49
10	On Granger causality and the effect of interventions in time series Lifetime Data Analysis ·Michael Eichler, Vanessa Didelez	2009	49
11	Covariate selection strategies for causal inference: Classification and comparison Biometrical Journal ·Janine Witte, Vanessa Didelez	2018	48
12	Defining causal mediation with a longitudinal mediator and a survival outcome Lifetime Data Analysis ·Vanessa Didelez	2018	41
13	Insights into the Cross-world Independence Assumption of Causal Mediation Analysis Epidemiology ·Ryan M. Andrews, Vanessa Didelez	2020	37
14	Judea Pearl: Causality: Models, reasoning, and inference Politische Vierteljahresschrift ·Vanessa Didelez, Iris Pigeot	2001	35
15	Sensitivity of Treatment Recommendations to Bias in Network Meta-Analysis Journal of the Royal Statistical Society Series A (Statistics in Society) ·David Phillippo, Sofia Dias, A. E. Ades, Vanessa Didelez, Nicky J. Welton	2017	33
16	Graphical Models for Composable Finite Markov Processes Scandinavian Journal of Statistics ·Vanessa Didelez	2006	32
17	Severity of bias of a simple estimator of the causal odds ratio in Mendelian randomization studies Statistics in Medicine ·Roger Harbord, Vanessa Didelez, Tom Palmer, Sha Meng, Jonathan A C Sterne, Nuala A. Sheehan	2012	31
18	Epidemiology, genetic epidemiology and Mendelian randomisation: more need than ever to attend to detail Human Genetics ·Nuala A. Sheehan, Vanessa Didelez	2019	30
19	Time‐dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model Biometrical Journal ·Odd O. Aalen, Mats Julius Stensrud, Vanessa Didelez, Rhian Daniel, Kjetil Røysland, Susanne Strohmaier	2019	29
20	Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals American Journal of Epidemiology ·L. Paloma Rojas‐Saunero, Jessica G. Young, Vanessa Didelez, M. Arfan Ikram, Sonja A. Swanson	2023	28

About Vanessa Didelez

Vanessa Didelez is a scholar working on Statistics and Probability, Artificial Intelligence, Genetics, Statistics, Probability and Uncertainty and Economics and Econometrics, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (38 papers), Statistical Methods and Inference (23 papers), Bayesian Modeling and Causal Inference (22 papers), Statistical Methods and Bayesian Inference (16 papers), Genetic Associations and Epidemiology (12 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Statistical Methods in Clinical Trials (8 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Statistics and Probability (817 citations), Genetics (756 citations), Rheumatology (146 citations), Economics and Econometrics (224 citations) and Health (68 citations). Vanessa Didelez has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Nuala A. Sheehan, Meng Sha, Martin D. Tobin, Paul R. Burton, A. P. Dawid, Jonathan A C Sterne, Tom Palmer, Michael Eichler, Roger Harbord and George Davey Smith. Their work appears in journals such as American Journal of Epidemiology, Statistics in Medicine, Biometrical Journal, Journal of Clinical Epidemiology and Journal of the Royal Statistical Society Series B (Statistical Methodology).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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