Resources Repository
-
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…
Calibration/Validation | Health/Medicine | Evidence Synthesis | Health Outcomes | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care | Global -
Resource PackWeb Portal, Teaching Resource 2023Resource Pack: Maternal Health Models and CEA
This resource pack, curated by the Center for Health Decision Science, provides selected examples of …
This resource pack, curated by the Center for Health Decision Science, provides selected examples of modeling approaches used to conduct analyses relevant to maternal and reproductive health. Some papers focus on a particular problem (e.g., screening for prenatal syphilis, comparison of alternative strategies for safe abortion), while others explore strategies for reducing morbidity and mortality from the entire spectrum of pregnancy and childbirth-related complications. Several of the examples model the primary drivers of maternal mortality (e.g.,…
Calibration/Validation | Health/Medicine | Evidence Synthesis | Costing Methods | Mathematical Models | Microsimulation | Cost-Effectiveness Analysis | Maternal/Reproductive Health | Health Systems | Clinical Care | Science/Technology | Global | Sub-Saharan Africa | Middle East & North Africa | Latin America & Caribbean | Asia & Pacific -
Lesson/ModuleVideo, Teaching Resource 2018Estimating Transition Probabilities for a Model
This video is intended to provide a discussion on various methods for deriving probabilities that are …
This video is intended to provide a discussion on various methods for deriving probabilities that are needed for decision models. Presented are the concepts of literature based Odds Ratios and Relative Risks, which need to be transformed into probabilities, how to deal with probability estimates from time frames not relevant to the model in question, and how to derive probabilities from published summary statistics. This lecture is aimed at the researcher who is interested in operationalizing…
Health/Medicine | Evidence Synthesis | Probability/Bayes | Mathematical Models | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
OrganizationWeb Portal 2024American Statistical Association (ASA)
The American Statistical Association (ASA) founded in 1839, is the world’s second-oldest, continuously operating professional association …
The American Statistical Association (ASA) founded in 1839, is the world’s second-oldest, continuously operating professional association in the country. The ASA has supported the development, application, and dissemination of statistical science through meetings, publications, membership services, accreditation, fellowships and grants, and advocacy. ASA provides educational materials for K–12 undergraduate and graduate faculty, statistics students, and statisticians in developing countries, including classroom resources, publications in statistics education, guidelines and reports, professional development resources, communities, competitions, programs, and resources…
Health/Medicine | Evidence Synthesis | Probability/Bayes | Decision Theory | Business/Industry | Climate/Environment | Education/Labor | Food/Agriculture | Military/Defense | Science/Technology | Global | North America -
ArticlePublication 2015Cancer Models and Real-World Data: Better Together
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of …
Decision-analytic models synthesize available data on disease burden and intervention effectiveness to project estimates of the long-term consequences of care. While models have been influential in informing US cancer screening guidelines under ideal conditions, incorporating detailed data on real-world screening practice has been limited given the complexity of screening processes and behaviors throughout diverse health delivery systems in the United States. The authors describe the synergies that exist between decision-analytic models and health care utilization…
Calibration/Validation | Health/Medicine | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Science/Technology | North America -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Calibration/Validation | Health/Medicine | Evidence Synthesis | Costing Methods | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Economics/Finance | North America -
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 -
Resource PackPublication, Teaching Resource 2023Resource Pack: Diagnostic Tests, Bayes, and COVID-19
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing …
This resource pack provides a curated set of articles, perspectives, and interactives about diagnostic testing for COVID-19. The pack provides materials that will be particularly useful for educators who are teaching diagnostic test performance, value of information, and probability revision using Bayes’ theorem. The majority of papers focus on PCR or rapid antigen testing on samples obtained from the respiratory tract by nasopharyngeal swab. The mechanism of false negative results (e.g., timing of sample collection…
Health/Medicine | Probability/Bayes | Test Performance | Value of Information | Decision Analysis | Science/Technology | Global | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Teaching PackWeb Portal, Teaching Resource 2023Teaching Pack: Heuristics with Joe Pliskin
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics …
This teaching pack, curated by the Center for Health Decision Science, features videos introducing heuristics used in decision making. While these “mental shortcuts” can be useful in some circumstances, they can lead to more errors than deliberate, rational thinking. An awareness of these heuristics is useful to decision makers. This series of videos on heuristics was developed by Professor Joe Pliskin during his residency with the CHDS Media Hub led by Jake Waxman. They reflect…
Health/Medicine | Probability/Bayes | Decision Theory | Decision Psychology | Preferences/Values | Chronic Disease/Risk | Clinical Care | Business/Industry | Economics/Finance | High School | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy