Resources Repository
-
ArticlePublication 2023Simulation-Based Comparative Effectiveness Analysis of Policies to Improve Global Maternal Health Outcomes
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) …
The Sustainable Development Goals include a target to reduce the global maternal mortality ratio (MMR) to less than 70 maternal deaths per 100,000 live births by 2030, with no individual country exceeding 140. However, on current trends the goals are unlikely to be met. The authors used an empirically calibrated Global Maternal Health microsimulation model, which simulates individual women in 200 countries and territories to evaluate the impact of different interventions and strategies from 2022…
Calibration/Validation | Health/Medicine | Global | Health Outcomes | Mathematical Models | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care -
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 | Global | Health Outcomes | Evidence Synthesis | Microsimulation | Maternal/Reproductive Health | Health Systems | Clinical Care -
ArticlePublication 2021Rational Policymaking during a Pandemic
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and …
Policymaking during a pandemic can be extremely challenging. As COVID-19 is a new disease and its global impacts are unprecedented, decisions are taken in a highly uncertain, complex, and rapidly changing environment. In such a context, in which human lives and the economy are at stake, the authors argue that using ideas and constructs from modern decision theory, even informally, will make policymaking a more responsible and transparent process.
Decision Theory | Health/Medicine | Global | Priority Setting/Ethics | Infectious Diseases | Policy/Regulation | Government/Law | Science/Technology -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Test Performance | Health/Medicine | Global | Probability/Bayes | Infectious Diseases | 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 | Health/Medicine | Global | State-Transition | Microsimulation | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Economics/Finance | North America -
ArticlePublication 2017Likelihood Approach for Calibration of Stochastic Epidemic Models
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens …
Stochastic transmission dynamic models are especially useful for studying the early emergence of novel pathogens given the importance of chance events when the number of infectious individuals is small. However, methods for parameter estimation and prediction for these types of stochastic models remain limited. This paper describes a calibration and prediction framework for stochastic compartmental transmission models of epidemics. The proposed method applies a linear noise approximation to describe the size of the fluctuations, and…
Calibration/Validation | Health/Medicine | Global | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Health Systems -
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…
Decision Theory | Health/Medicine | Global | Probability/Bayes | Evidence Synthesis | Business/Industry | Climate/Environment | Education/Labor | Food/Agriculture | Military/Defense | Science/Technology | North America -
OrganizationWeb Portal 2024International Society for Bayesian Analysis (ISBA)
The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development …
The International Society for Bayesian Analysis (ISBA) was founded in 1992 to promote the development and application of Bayesian analysis. By sponsoring and organizing meetings, publishing the electronic journal Bayesian Analysis, and other activities, ISBA provides an international community for those interested in Bayesian analysis and its applications, and includes interest sections on topics such as biostatistics/pharmaceuticals, computation, economics/finance/business, education research/practice, environmental sciences, industrial statistics, nonparametrics and objective Bayes. Bayesian Analysis is the electronic journal…
Decision Theory | Health/Medicine | Global | Probability/Bayes | Business/Industry | Climate/Environment | Education/Labor | Science/Technology -
OrganizationWeb Portal 2024Society for Judgment and Decision-Making
The Society for Judgment and Decision Making is an interdisciplinary academic organization dedicated to the …
The Society for Judgment and Decision Making is an interdisciplinary academic organization dedicated to the study of normative, descriptive, and prescriptive theories of judgments and decisions. Its members include psychologists, economists, organizational researchers, decision analysts, and other decision researchers. Online resources include links to publications, teaching resources, course syllabi, blogs and PhD Programs all related to Judgment and Decision Making. The Society's primary event is its Annual Meeting at which Society members present their research.…
Decision Theory | Health/Medicine | Global | Decision Psychology | Preferences/Values | Business/Industry | Government/Law