ArticleMedical decision making : an international journal of the Society for Medical Decision Making2018
Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
101 citing papers in PubMed, 2 syntheses or guidelines pooled it, 172 citations in OpenAlex.
- Endovascular Treatment for Acute Ischemic Stroke: A Methodological Systematic Review of Health Economic Decision Modeling Studies.PharmacoEconomics · 2026Pooled it
- Health Economic Evaluations of Circulating Tumor DNA Testing for Cancer Screening: Systematic Review.Cancer medicine · 2025Pooled it
- Cost-effectiveness of folic acid therapy for primary prevention of stroke in patients with hypertension.BMC medicine · 2022Trial
- Distributional Cost-Effectiveness Analysis Using Microsimulation in R: A Tutorial.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- How Applied Researchers Engage with Methodological Tutorials: A Three-step Test Interview Study of an R Tutorial for Trial-Based Economic Evaluation.PharmacoEconomics - open · 2026Article
- Cost-effectiveness of surgical and conservative interventions for orthopaedic injuries in Malawi: a modelling study.BMJ global health · 2026Article
- The Cost Utility of Rhythm Control Treatment Sequences in Patients with Atrial Fibrillation: Anti-arrhythmic Drugs Versus Catheter Ablation.PharmacoEconomics · 2026Article
- A Tutorial on Discrete Event Simulation Models Using a Cost-Effectiveness Analysis Example in R.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- Article
- A Novel Decision-Modeling Framework for Health Policy Analyses When Outcomes Are Influenced by Social and Disease Processes.Medical decision making : an international journal of the Society for Medical Decision Making · 2026Article
- Cost-Effectiveness of First-Line Immunochemotherapy VersusCurrent oncology (Toronto, Ont.) · 2026Article
- Estimating the hazard ratio of excess mortality using a microsimulation framework with golden section search calibration: a methodological primer.BMC medical research methodology · 2026Article
- Cost-effectiveness analysis of intensive and emerging rehabilitation therapies in children with cerebral palsy: an observational cohort study using real-world evidence and microsimulation modelling.Health economics review · 2026Article
- Individual-level prediction models of societal costs and health-related quality of life in pediatric cerebral palsy: a population-based study from Spain.Cost effectiveness and resource allocation : C/E · 2026Article
- Developing and Calibrating a Colorectal Cancer Microsimulation Model for Northern Ireland.PharmacoEconomics · 2026Article
- Discrete-Event Simulation Modeling Framework for Cancer Interventions and Population Health in R (DESCIPHR): An Open-Source Pipeline.PharmacoEconomics · 2026Article
- Development of Disordered Weight Control Behaviors and Its Progression to Eating Disorders in Canada: A Nationally Representative Microsimulation.The International journal of eating disorders · 2026Article
- Comparing the Influence of Heterogeneity on Model Outcomes in Individual-Level and Cohort Simulations: An Exploratory Simulation Study.PharmacoEconomics · 2026Article
- Microsimulation Modeling for Health Decision Sciences Using C++: A Tutorial.PharmacoEconomics · 2026Review
- Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Microsimulation models are becoming increasingly common in the field of decision modeling for health. Because microsimulation models are computationally more demanding than traditional Markov cohort models, the use of computer programming languages in their development has become more common. R is a programming language that has gained recognition within the field of decision modeling. It has the capacity to perform microsimulation models more efficiently than software commonly used for decision modeling, incorporate statistical analyses within decision models, and produce more transparent models and reproducible results. However, no clear guidance for the implementation of microsimulation models in R exists. In this tutorial, we provide a step-by-step guide to build microsimulation models in R and illustrate the use of this guide on a simple, but transferable, hypothetical decision problem. We guide the reader through the necessary steps and provide generic R code that is flexible and can be adapted for other models. We also show how this code can be extended to address more complex model structures and provide an efficient microsimulation approach that relies on vectorization solutions.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.