Resources Repository
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OrganizationWeb Portal 2024Society for Industrial and Applied Mathematics (SIAM)
The Society for Industrial and Applied Mathematics (SIAM) founded in 1952 to convey mathematical knowledge …
The Society for Industrial and Applied Mathematics (SIAM) founded in 1952 to convey mathematical knowledge to other professionals who could implement mathematical theory for practical, industrial, or scientific use. SIAM's mission is to build cooperation between mathematics and the worlds of science and technology through publications, research, and community. SIAM is an international community with over 14,000 individual members and almost 500 academic, manufacturing, research and development, service and consulting organizations, government, and military organizations…
Probability/Bayes | Business/Industry | Education/Labor | Science/Technology | Global -
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…
Probability/Bayes | Decision Theory | Evidence Synthesis | Business/Industry | Climate/Environment | Education/Labor | Food/Agriculture | Health/Medicine | Military/Defense | Science/Technology | Global | 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…
Probability/Bayes | Decision Theory | Business/Industry | Climate/Environment | Education/Labor | Health/Medicine | Science/Technology | Global -
ReportPublication 2015Improving Diagnosis in Health Care
Getting the right diagnosis is a key aspect of health care - it provides an …
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. This report, Improving Diagnosis in Health Care, explains that diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients.…
Probability/Bayes | Health Outcomes | Test Performance | Value of Information | Health Systems | Health/Medicine | North America -
ReportPublication 2003ISPOR Task Force Report: Good Practice for Decision Analytic Modeling in Health-Care
This report describes the consensus of a task force convened to provide modelers with guidelines …
This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies. While published more than a decade ago, it remains a clearly written resource for thinking about how to accurately describe the components of models and their quality. Criteria for assessing the quality of models fell into three areas: model structure, data used as inputs to models, and model validation. Several major themes cut across…
Calibration/Validation | Mathematical Models | Health/Medicine | Science/Technology | Global