ArticleMedical decision making : an international journal of the Society for Medical Decision Making2020
A Multidimensional Array Representation of State-Transition Model Dynamics.
Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- 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
- Cost-Effectiveness of First-Line Immunochemotherapy VersusCurrent oncology (Toronto, Ont.) · 2026Article
- Cost-Effectiveness Modelling of Multiple System Atrophy for Early Health Technology Assessment.PharmacoEconomics - open · 2026Article
- Cost-Utility Analysis of Treatment Sequences for Moderate-to-Severe Crohn's Disease.PharmacoEconomics · 2025Article
- Cost-Effectiveness of Durvalumab After Chemoradiotherapy in Limited-Stage SCLC.JTO clinical and research reports · 2025Article
- Cost-effectiveness of lazertinib as first-line treatment in patients withTherapeutic advances in medical oncology · 2025Article
- A Simple Cost-Effectiveness Model of Screening: An Open-Source Teaching and Research Tool Coded in R.PharmacoEconomics - open · 2023Article
- A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example.Medical decision making : an international journal of the Society for Medical Decision Making · 2023Article
- CDX2 Biomarker Testing and Adjuvant Therapy for Stage II Colon Cancer: An Exploratory Cost-Effectiveness Analysis.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2022Article
- Cost-effectiveness of meningococcal vaccination of Norwegian teenagers with a quadrivalent ACWY conjugate vaccine.Human vaccines & immunotherapeutics · 2021Article
- A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling.PharmacoEconomics · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Cost-effectiveness analyses often rely on cohort state-transition models (cSTMs). The cohort trace is the primary outcome of cSTMs, which captures the proportion of the cohort in each health state over time (state occupancy). However, the cohort trace is an aggregated measure that does not capture information about the specific transitions among health states (transition dynamics). In practice, these transition dynamics are crucial in many applications, such as incorporating transition rewards or computing various epidemiological outcomes that could be used for model calibration and validation (e.g., disease incidence and lifetime risk). In this article, we propose an alternative approach to compute and store cSTMs outcomes that capture both state occupancy and transition dynamics. This approach produces a multidimensional array from which both the state occupancy and the transition dynamics can be recovered. We highlight the advantages of the multidimensional array over the traditional cohort trace and provide potential applications of the proposed approach with an example coded in R to facilitate the implementation of our method.
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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.