ArticleAmerican journal of epidemiology2015
Invited commentary: Agent-based models for causal inference—reweighting data and theory in epidemiology.
Article in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Mediation effects that emulate a target randomised trial: Simulation-based evaluation of ill-defined interventions on multiple mediators.Statistical methods in medical research · 2021Trial
- Advancing systems thinking in implementation science: An epidemiologic perspective.Annals of epidemiology · 2026Article
- The Target Trial Framework for Causal Inference From Observational Data: Why and When Is It Helpful?Annals of internal medicine · 2025 · on this mapArticle
- Incorporating social determinants of health into agent-based models of HIV transmission: methodological challenges and future directions.Frontiers in epidemiology · 2025Review
- Invited Commentary: Combining Information to Answer Epidemiologic Questions About a Target Population.American journal of epidemiology · 2024Article
- Applications of agent-based modeling in trauma research.Psychological trauma : theory, research, practice and policy · 2023Article
- Data-rich modeling helps answer increasingly complex questions on variant and disease interactions: Comment on "Mathematical models for dengue fever epidemiology: A 10-year systematic review" by Aguiar et al.Physics of life reviews · 2023Article
- Structural racism theory, measurement, and methods: A scoping review.Frontiers in public health · 2023Article
- Review
- Modeling COVID-19 Outbreaks in Long-Term Care Facilities Using an Agent-Based Modeling and Simulation Approach.International journal of environmental research and public health · 2022Article
- G-Computation and Agent-Based Modeling for Social Epidemiology: Can Population Interventions Prevent Posttraumatic Stress Disorder?American journal of epidemiology · 2022Article
- Emulating Target Trials to Improve Causal Inference From Agent-Based Models.American journal of epidemiology · 2021Article
- Complex systems models for causal inference in social epidemiology.Journal of epidemiology and community health · 2021Article
- Agent-based modelling for SARS-CoV-2 epidemic prediction and intervention assessment: A methodological appraisal.Journal of evaluation in clinical practice · 2020Article
- Win-Win: Reconciling Social Epidemiology and Causal Inference.American journal of epidemiology · 2020Article
- Modeling Early Stages of Bone and Joint Infections Dynamics in Humans: A Multi-Agent, Multi-System Based Model.Frontiers in molecular biosciences · 2020Article
- Is the Smog Lifting?: Causal Inference in Environmental Epidemiology.Epidemiology (Cambridge, Mass.) · 2019Article
- Towards a complex systems approach in sports injury research: simulating running-related injury development with agent-based modelling.British journal of sports medicine · 2019Review
- Systems Modeling to Advance the Promise of Data Science in Epidemiology.American journal of epidemiology · 2019Article
- DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference.International journal of epidemiology · 2019Article
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Abstract
The relative weights of empirical facts (data) and assumptions (theory) in causal inference vary across disciplines. Typically, disciplines that ask more complex questions tend to better tolerate a greater role of theory and modeling in causal inference. As epidemiologists move toward increasingly complex questions, Marshall and Galea (Am J Epidemiol. 2015;181(2):92-99) support a reweighting of data and theory in epidemiologic research via the use of agent-based modeling. The parametric g-formula can be viewed as an intermediate step between traditional epidemiologic methods and agent-based modeling and therefore is a method that can ease the transition toward epidemiologic methods that rely heavily on modeling.
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