Influence Diagrams for Causal Modelling and Inference

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Causal Inference without Counterfactuals

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Chain Graph Models and their Causal Interpretations

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Probabilistic Evaluation of Sequential Plans from Causal Models with Hidden VariablesPreprint

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Decision-Theoretic Foundations for Causal Reasoning

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Highly Structured Stochastic Systems

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Influence Diagrams, Belief Nets and Decision Analysis.

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Testing Identifiability of Causal EffectsPreprint

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Aspects of Graphical Models Connected with Causality

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Evaluating Influence Diagrams using LIMIDsPreprint

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Mendelian randomization as an instrumental variable approach to causal inference

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An Introduction to Causal Inference

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Bayesian networks in reliability

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A New Criterion for Confounder Selection

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Experimental Designs for Identifying Causal Mechanisms

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External validity: From do-calculus to transportability across populations

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External Validity: From Do-Calculus to Transportability Across Populations

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Chain Graph Models and their Causal Interpretations

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Quantum causal modelling

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Assumptions of IV Methods for Observational Epidemiology.

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Causality in the Sciences

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Transportability of Causal and Statistical Relations: A Formal Approach

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Adjusting for selection bias in retrospective, case-control studies

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Causal Inference in Time Series Analysis

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Covariate selection for the nonparametric estimation of an average treatment effect

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Causal inference with multiple time series: principles and problems

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Causal Inference in Statistics

Pearl, J., Glymour, M., & Jewell, N. P. (2016) · Cited by 137 · see citing works

Detection of Unfaithfulness and Robust Causal Inference

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Causality: a Statistical View

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Causality and Causal Modelling in the Social Sciences

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Signed Directed Acyclic Graphs for Causal Inference

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Identifying Direct and Indirect Effects in a Non-Counterfactual Framework

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Direct and Indirect Effects of Sequential TreatmentsPreprint

Didelez, V., Dawid, A. P., & Geneletti, S. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1206.6840 · Cited by 108 · see citing works

On Granger causality and the effect of interventions in time series

Eichler, M., & Didelez, V. (2009) · Lifetime Data Analysis · doi:10.1007/s10985-009-9143-3 · Cited by 93 · see citing works

Covariate selection strategies for causal inference: Classification and comparison

Witte, J., & Didelez, V. (2018) · Biometrical Journal · doi:10.1002/bimj.201700294 · Cited by 88 · see citing works

Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology

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

Dawid, A. P., & Didelez, V. (2010) · Statistics Surveys · doi:10.1214/10-ss081 · Cited by 87 · see citing works

Animal Welfare and the Intensification of Animal Production

Fraser, D. J. (2008) · The international library of environmental, agricultural and food ethics/The International library of environmental, agricultural and food ethics · doi:10.1007/978-1-4020-8722-6_12 · Cited by 86 · see citing works

Foundations of structural causal models with cycles and latent variables

Bongers, S., Forré, P. D., Peters, J., & Mooij, J. M. (2021) · The Annals of Statistics · doi:10.1214/21-aos2064 · Cited by 84 · see citing works

Analysis of Longitudinal Data with Drop-Out: Objectives, Assumptions and a Proposal

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An Extended Spatio-Temporal Granger Causality Model for Air Quality Estimation with Heterogeneous Urban Big Data

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Decomposing causality into its synergistic, unique, and redundant components

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Intervention and Causality: Forecasting Traffic Flows Using a Dynamic Bayesian Network

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Graphical Models for Inference Under Outcome-Dependent Sampling

Didelez, V., Kreiner, S., & Keiding, N. (2010) · Statistical Science · doi:10.1214/10-sts340 · Cited by 80 · see citing works

Comments on the paper Causal inference by using invariant prediction: identification and confidence intervals by Peters, Buhlmann and Meinshausen

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Identifying the odds ratio estimated by a two‐stage instrumental variable analysis with a logistic regression model

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Probability, Causality and the Empirical World: A Bayes–de Finetti–Popper– Borel Synthesis

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Defining causal mediation with a longitudinal mediator and a survival outcome

Didelez, V. (2018) · Lifetime Data Analysis · doi:10.1007/s10985-018-9449-0 · Cited by 68 · see citing works

Transportability Across Studies: A Formal Approach

Pearl, J., & Bareinboim, E. (2011) · doi:10.21236/ada557437 · Cited by 69 · see citing works

Nested Markov properties for acyclic directed mixed graphs

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Transportability of Causal and Statistical Relations: A Formal Approach

Pearl, J., & Bareinboim, E. (2011) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v25i1.7861 · Cited by 65 · see citing works

Causal Reasoning from Longitudinal Data*

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Criteria for Surrogate End Points

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Causal analysis with Chain Event Graphs

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Beware of the DAG

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Causal learning in rats and humans: A minimal rational model

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Confounding and control

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Settable Systems: An Extension of Pearl’s Causal Model with Optimization, Equilibrium, and Learning

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Causal learning in rats and humans:

Waldmann, M. R., Cheng, P. W., Hagmayer, Y., & Blaisdell, A. P. (2008) · doi:10.1093/acprof:oso/9780199216093.003.0020 · Cited by 48 · see citing works

Time-series estimation of the effects of natural experiments

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The Ethics of Sustainable Agricultural Intensification

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Counterfactuals, Hypotheticals and Potential Responses: A Philosophical Examination of Statistical Causality

Dawid, A. P. (2006) · UCL Discovery (University College London) · Cited by 46 · see citing works

Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game

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Compound Treatments, Transportability, and the Structural Causal Model

Petersen, M. L. (2011) · Epidemiology · doi:10.1097/ede.0b013e3182126127 · Cited by 45 · see citing works

Causal Diagrams for Treatment Effect Estimation with Application to Efficient Covariate Selection

White, H., & Lu, X. (2010) · The Review of Economics and Statistics · doi:10.1162/rest_a_00153 · Cited by 43 · see citing works

The role of learning data in causal reasoning about observations and interventions

Meder, B., Hagmayer, Y., & Waldmann, M. R. (2009) · Memory & Cognition · doi:10.3758/mc.37.3.249 · Cited by 39 · see citing works

Margins of discrete Bayesian networks

Evans, R. J. (2018) · The Annals of Statistics · doi:10.1214/17-aos1631 · Cited by 42 · see citing works

Causal Reasoning in Graphical Time Series ModelsPreprint

Eichler, M., & Didelez, V. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1206.5246 · Cited by 41 · see citing works

A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments

Correa, J. D., & Bareinboim, E. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v34i06.6567 · Cited by 38 · see citing works

Decision-theoretic foundations for statistical causality

Dawid, A. P. (2021) · Journal of Causal Inference · doi:10.1515/jci-2020-0008 · Cited by 43 · see citing works

Inferring interventional predictions from observational learning data

Meder, B., Hagmayer, Y., & Waldmann, M. R. (2008) · Psychonomic Bulletin & Review · doi:10.3758/pbr.15.1.75 · Cited by 37 · see citing works

Discussion on Causality

Lauritzen, S. L. (2004) · Scandinavian Journal of Statistics · doi:10.1111/j.1467-9469.2004.03-200a.x · Cited by 37 · see citing works

Hot Potato: Expert‐Consumer Differences in the Perception of a Second‐Generation Novel Food

Hagemann, K. S., & Scholderer, J. (2009) · Risk Analysis · doi:10.1111/j.1539-6924.2009.01229.x · Cited by 36 · see citing works

Stabilizing variable selection and regression

Pfister, N., Williams, E. G., Peters, J., Aebersold, R. H., & Bühlmann, P. (2021) · The Annals of Applied Statistics · doi:10.1214/21-aoas1487 · Cited by 35 · see citing works

The Decision‐Theoretic Approach to Causal Inference

Dawid, A. P. (2012) · Wiley series in probability and statistics · doi:10.1002/9781119945710.ch4 · Cited by 34 · see citing works

Gateway Effects: Why the Cited Evidence Does Not Support Their Existence for Low-Risk Tobacco Products (and What Evidence Would)

Phillips, C. (2015) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph120505439 · Cited by 32 · see citing works

Granger-Causality-based air quality estimation with spatio-temporal (S-T) heterogeneous big data

Zhu, J. Y., Sun, C., & Li, V. O. K. (2015) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infcomw.2015.7179453 · Cited by 32 · see citing works

Simulating from marginal structural models with time‐dependent confounding

Havercroft, W. G., & Didelez, V. (2012) · Statistics in Medicine · doi:10.1002/sim.5472 · Cited by 31 · see citing works

Agent Incentives: A Causal Perspective

Everitt, T., Carey, R., Langlois, E. D., Ortega, P. A., & Legg, S. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i13.17368 · Cited by 2 · see citing works

Assessing causal relationships in genomics: From Bradford-Hill criteria to complex gene-environment interactions and directed acyclic graphs

Geneletti, S., Gallo, V., Porta, M. S., Khoury, M. J., & Vineis, P. (2011) · Emerging Themes in Epidemiology · doi:10.1186/1742-7622-8-5 · Cited by 31 · see citing works

Local Characterizations of Causal Bayesian Networks

Bareinboim, E., de Brito, C. E. F., & Pearl, J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-29449-5_1 · Cited by 30 · see citing works

Repeated causal decision making.

Hagmayer, Y., & Meder, B. (2012) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0028643 · Cited by 30 · see citing works

Extended conditional independence and applications in causal inference

Constantinou, P., & Dawid, A. P. (2017) · The Annals of Statistics · doi:10.1214/16-aos1537 · Cited by 28 · see citing works

Mendelian Randomisation: A Tool for Assessing Causality in Observational Epidemiology

Sheehan, N. A., Sha, M., & Didelez, V. (2010) · Methods in molecular biology · doi:10.1007/978-1-60327-416-6_12 · Cited by 29 · see citing works

(A3) HIV Phenotypes, Oral Lesions, and Management of HIV-related Disease

Blignaut, E., Patton, L. L., Nittayananta, W., Ramírez‐Amador, V., Ranganathan, K., & Chattopadhyay, A. (2006) · Advances in Dental Research · doi:10.1177/154407370601900123 · Cited by 29 · see citing works

External Validity: From Do -Calculus to Transportability Across Populations

Pearl, J., & Bareinboim, E. (2022) · ACM eBooks · doi:10.1145/3501714.3501741 · Cited by 27 · see citing works

Defining and identifying the effect of treatment on the treated

Geneletti, S., & Dawid, A. P. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199574131.003.0034 · Cited by 28 · see citing works

Observing and Intervening: Rational and Heuristic Models of Causal Decision Making

Meder, B., Gerstenberg, T., Hagmayer, Y., & Waldmann, M. R. (2010) · The Open Psychology Journal · doi:10.2174/1874350101003010119 · Cited by 27 · see citing works

Causality and Causal Models: A Conceptual Perspective*

Frosini, B. V. (2006) · International Statistical Review · doi:10.1111/j.1751-5823.2006.tb00298.x · Cited by 24 · see citing works

Beware of the DAG

Dawid, A. P. (2008) · Cited by 27 · see citing works

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

Watson, D., Gultchin, L., Taly, A., & Floridi, L. (2022) · Minds and Machines · doi:10.1007/s11023-022-09598-7 · Cited by 28 · see citing works

Emergent Causality and the Foundation of Consciousness

Bennett, M. T. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-33469-6_6 · Cited by 25 · see citing works

"Imagine a Can Opener"--The Magic of Principal Stratum Analysis

Dawid, A. P., & Didelez, V. (2012) · The International Journal of Biostatistics · doi:10.1515/1557-4679.1391 · Cited by 25 · see citing works

Representing causal knowledge in environmental policy interventions: Advantages and opportunities for qualitative influence diagram applications

Carriger, J. F., Dyson, B., & Benson, W. H. (2018) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.2027 · Cited by 25 · see citing works

Causal Analysis of Self-tracked Time Series Data Using a Counterfactual Framework for N-of-1 Trials*

Daza, E. J. (2018) · Methods of Information in Medicine · doi:10.3414/me16-02-0044 · Cited by 23 · see citing works

A Graphical Representation of Equivalence Classes of AMP Chain Graphs

Roverato, A., & Studený, M. (2006) · Cited by 22 · see citing works

A hierarchical Bayesian model for understanding the spatiotemporal dynamics of the intestinal epithelium

Maclaren, O. J., Parker, A., Pin, C., Carding, S. R., Watson, A. J. M., Fletcher, A. G., Byrne, H. M., & Maini, P. K. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005688 · Cited by 19 · see citing works

Causal Inference and Reasoning in Causally Insu-cient Systems

Zhang, J. (2006) · Cited by 24 · see citing works

Identifying linear causal effects

Tian, J. W. (2004) · Cited by 20 · see citing works

Causality, Conditional Independence, and Graphical Separation in Settable Systems

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