Resources Repository
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Lesson/ModuleWeb Portal, Teaching Resource 2014Maths and Our Health
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics …
This learning module provides teaching packs to explore biomedical real-world applications of probability and statistics in decision-making. Each pack provides videos and supplemental materials, including presentations, worksheets, and games. Topics include: “Eating Bacon Sandwiches is Bad for You!” Evaluating Risk Epidemics: Modelling with Mathematics Life Saving Maths: How Does Vaccination Work? The Economics of Health: How Do We Decide? The Test is Positive: But What Are the Odds It’s Wrong?
Health/Medicine | Decision Theory | Test Performance | Mathematical Models | Decision Analysis | Infectious Diseases | Child/Nutrition | Chronic Disease/Risk | Economics/Finance | Science/Technology | Global | Middle School | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Lesson/ModulePublication, Teaching Resource 2014Scientific Decision-Making: Teacher's Guide
This guide provides high-school level activities and readings on how decision-making can affect our health, …
This guide provides high-school level activities and readings on how decision-making can affect our health, focusing on cardiovascular health. Exercises include: Decisions and Risks Smarter Choices Introduction to Personal Stories Heart: Basic Measurements Calculating Coronary Artery Disease Risk Team Diagnosis of Three Cases Comparative Effectiveness Decision-Making Tools These exercises explore the biology of the heart, a coronary disease model, risk factors for heart disease, and a wider range of activities around health decision-making.
Health/Medicine | Decision Theory | Decision Analysis | Chronic Disease/Risk | Social Determinants | High School | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
ArticlePublication 2013Validation and Calibration of a Simulation Model of Pediatric HIV Infection
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of …
The authors developed a microsimulation model of pediatric HIV disease progression using the Cost-Effectiveness of Preventing AIDS Complications (CEPAC) model framework. This CEPAC-Pediatric model was then validated by varying CD4 data and comparing the corresponding model-generated survival curves to empirical survival curves obtained from the International Epidemiologic Database to Evaluate AIDS (IeDEA). The model was calibrated to other African countries by systematically varying immunologic and HIV mortality-related input parameters. In the calibration analyses, the model-generated…
Calibration/Validation | Health/Medicine | Microsimulation | Infectious Diseases | Child/Nutrition | Sub-Saharan Africa -
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Calibration/Validation | Health/Medicine | Microsimulation | Chronic Disease/Risk | Social Determinants | Culture/Society | North America -
BookPublication 2013Handbook of Decision Analysis
This book describes the philosophy, technical concepts, mathematics, and art of decision analysis for the …
This book describes the philosophy, technical concepts, mathematics, and art of decision analysis for the decision professional, and is designed to be supplemental reading for professional decision analysis training courses, a reference for beginning and experienced practitioners, and a supplemental text for an undergraduate or graduate course in decision analysis. The handbook includes chapters on the following topics: decision-making challenges; mathematical foundations of decision analysis; decision analysis soft skills; selecting the decision making process for…
Health/Medicine | Decision Theory | Probability/Bayes | Preferences/Values | Value of Information | Decision Analysis | Economics/Finance | Energy/Engineering -
GuidelinesPublication 2012Model Transparency and Validation: A Report of the ISPOR-SMDM Modeling Task Force-7
This paper discusses how to improve trust in the use of health care models through …
This paper discusses how to improve trust in the use of health care models through validation and transparency. Validation involves face validity (wherein experts evaluate model structure, data sources, assumptions, and results), verification or internal validity (check accuracy of coding), cross validity (comparison of results with other models analyzing same problem), external validity (comparing model results to real-world results), and predictive validity (comparing model results with prospectively observed events). Recommendations are provided for nontechnical description…
Calibration/Validation | Health/Medicine | Costing Methods | Health Outcomes | Mathematical Models -
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…
Calibration/Validation | Health/Medicine | Evidence Synthesis | Mathematical Models | Dynamic Simulation -
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…
Calibration/Validation | Health/Medicine | Costing Methods | Health Outcomes | Value of Information | Mathematical Models | State-Transition | Dynamic Transmission | Microsimulation | Dynamic Simulation | Decision Analysis | Infectious Diseases -
GuidelinesPublication 2012Model Parameter Estimation and Uncertainty Analysis: A Report of the ISPOR-SMDM Modeling Task Force-6
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity …
This paper discusses methods for the reporting of uncertainty, both in terms of deterministic sensitivity analysis techniques and probabilistic methods. Stochastic (first-order) uncertainty is distinguished from both parameter (second-order) uncertainty and from heterogeneity, with structural uncertainty relating to the model itself forming another level of uncertainty. The article describes the process of estimating model inputs, whether these are point estimates or distributions. It also explores the link between parameter uncertainty, decision uncertainty, and value-of-information analysis.…
Calibration/Validation | Health/Medicine | Value of Information | Mathematical Models