Resources Repository
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Resource PackPublication, Teaching Resource 2018Resource Pack: Model Calibration and Validation
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to empirical calibration and validation methods for mathematical models used in health decision analysis. Included are a selection of overviews, guidelines, tutorials, and applications. Given the complexity of diseases and variation in data quality, there are invariably a number of parameters that are unobserved or cannot be estimated directly but can be inferred through the process of model calibration. Model calibration…
Dynamic Simulation | Calibration/Validation | State-Transition | Mathematical Models | Dynamic Transmission | Microsimulation | Health/Medicine -
ReportPublication 2013Decision and Simulation Modeling Alongside Systematic Reviews
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks …
This chapter is part of a report entitled, Decision and Simulation Modeling in Systematic Reviews, that seeks to provide guidance for determining when incorporating a decision-analytic model alongside a systemic review would be of added value for decision making purposes. The chapter discusses the role of decision analysis and decision-analytic models in health care, specifically within the context of the current emphasis on evidence-based medicine and the proliferation of systematic reviews. It describes the types of model available…
Evidence Synthesis | Dynamic Simulation | State-Transition | Dynamic Transmission | Microsimulation | Health Systems | Clinical Care | Health/Medicine -
GuidelinesPublication 2012Modeling Using Discrete Event Simulation: A Report of the ISPOR-SMDM Modeling Task Force-4
This paper reports on consensus-based guidelines on the application of DES in a health care …
This paper reports on consensus-based guidelines on the application of DES in a health care setting, covering the range of issues to which DES can be applied. Discrete event simulation (DES) is a form of computer-based modeling that provides an intuitive and flexible approach to representing complex systems. The article works through the different stages of the modeling process: structural development, parameter estimation, model implementation, model analysis, and representation and reporting. Recommendations are made for…
Evidence Synthesis | Dynamic Simulation | Calibration/Validation | Mathematical Models | Health/Medicine -
GuidelinesPublication 2012Modeling Good Research Practices - Overview: A Report of the ISPOR-SMDM Modeling Task Force-1
This paper provides an overview of the work of the joint Task Force between the …
This paper provides an overview of the work of the joint Task Force between the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Society for Medical Decision Making (SMDM), provides the overarching recommendations, and discusses future work that is needed. The audience for these papers includes anyone who build models, stakeholders who utilize their results, and those concerned with the use of models to support decision making. This article is part 1 of…
Dynamic Simulation | Calibration/Validation | State-Transition | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | Dynamic Transmission | Microsimulation | Decision Analysis | Infectious Diseases | Health/Medicine -
ArticlePublication 2023Simulation-Based Estimates and Projections of Global, Regional and Country-Level Maternal Mortality by Cause, 1990-2050
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given …
While progress has been made globally to reduce maternal deaths, measurement remains a challenge given the many causes and frequent underreporting of maternal deaths. The authors developed a structural microsimulation model of Global Maternal Health (GMatH) for 200 countries and territories using demographic, epidemiologic, clinical and health system data synthesized from the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. The model was calibrated to empirical data from 1990 to…
Evidence Synthesis | Calibration/Validation | Health Outcomes | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Health/Medicine | Global -
ArticlePublication 2020Translating Population Evidence to Individual Patients
In this paper, the authors describe the differences in population level outcomes compared to individual …
In this paper, the authors describe the differences in population level outcomes compared to individual patients and discuss ways that these are differences. The authors cover topics including the difference between relative and absolute risk and benefit. They use an example of the decision to start anticoagulation in new-onset atrial fibrillation to discuss translating population level evidence to treatment of an individual. These options include generalizability, subgroup analysis, prediction rules, following response to therapy, and even…
Evidence Synthesis | Test Performance | Health Systems | Clinical Care | Health/Medicine -
Resource PackPublication, Teaching Resource 2018Resource Pack: Models for Health Decision Science
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to …
This resource pack, curated by the Center for Health Decision Science, provides broad exposure to mathematical models used in health decision science (e.g., microsimulation, dynamic transmission, agent-based, etc.). Resources include overviews, guidelines, tutorials, and applications relevant to a broad range of clinical and public health topics. A decision analytic approach relies on the use of a mathematical model to formally structure the components of the decision over time. Models are particularly useful when multiple data sources…
Dynamic Simulation | State-Transition | Mathematical Models | Dynamic Transmission | Microsimulation | Climate/Environment | Economics/Finance | Health/Medicine | Science/Technology -
ArticlePublication 2017Cost-Effectiveness of Testing and Treatment for Latent TB
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve …
Testing for and treating latent tuberculosis infection (LTBI) is among the main strategies to achieve TB elimination in the United States. This analysis estimated health outcomes, costs, and cost-effectiveness of LTBI testing and treatment among non-US born residents with and without medical comorbidities (e.g., diabetes, HIV infection, and end-stage renal disease). A decision analytic tree and Markov cohort simulation model was used to compare the following strategies: no testing, tuberculin skin test (TST), interferon gamma release assay…
Test Performance | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | Health/Medicine | Global | North America -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Dynamic Simulation | Calibration/Validation | Microsimulation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa