Resources Repository
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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 | Science/Technology | Decision Theory | Business/Industry | Climate/Environment | Education/Labor | Health/Medicine | Global -
Resource PortalWeb Portal, Teaching Resource 2024MIDAS
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models …
MIDAS is a collaborative network of research scientists who use computational, statistical and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect and respond to infectious disease threats. Midas focuses on research topics such as: Dynamics of emergence and spread of pathogens; Identification and surveillance of infectious diseases; Effectiveness and consequences of intervention strategies; Host/pathogen interactions; Ecological, climatic, economic and evolutionary dimensions of infectious diseases; The roles of behavior and behavioral adaptation in…
Calibration/Validation | Science/Technology | Mathematical Models | Dynamic Transmission | Dynamic Simulation | Risk Analysis | Cost-Effectiveness Analysis | Technology Assessment | Infectious Diseases | Health Systems | Policy/Regulation | Climate/Environment | Health/Medicine | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Conceptual Mapping | Quantitative Literacy -
Online LearningVideo, Teaching Resource 2023Khan Videos: Conditional Probability
These three videos, produced by Khan Academy, focus on conditional probability. Conditional probability with Bayes' …
These three videos, produced by Khan Academy, focus on conditional probability. Conditional probability with Bayes' Theorem (~5 min). Created by Brit Cruise, this video presents conditional probability visually using trees. Conditional probability and independence (~4 min). This video uses conditional probability to see if events are independent or not. Conditional probability tree diagram (~11 min). This video uses a tree diagram to work out the following conditional probability question: If someone fails a drug test, what is the…
Probability/Bayes | Science/Technology | Health/Medicine | High School | College | Graduate | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016DNA Evidence: Case Study in Probabilities
This educational module on DNA evidence presents trial testimony, exhibits, and opinions in a case …
This educational module on DNA evidence presents trial testimony, exhibits, and opinions in a case in which federal courts at every level discerned “inaccuracies” in the testimony of a leading expert about probabilities associated with the DNA evidence. By embedding these legal materials in background explanations, critical questions, and short problems, the module supports self-study and class discussions that together can elucidate key principles in scientific reasoning and quantitative analysis and that can help students…
Probability/Bayes | Science/Technology | Test Performance | Risk Analysis | Injuries/Accidents | Government/Law | Health/Medicine | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Shale Gas Development
This module has been developed around the topic of the extraction of natural gas from …
This module has been developed around the topic of the extraction of natural gas from shale. This practice, commonly referred to as fracking, involves several practices that have complex and uncertain consequences. In the module, three scientific concepts are explored in order to elucidate how science is applied toward addressing real-world problems. The scientific concepts are: (1) correlation is not the same as causation, (2) hazard is not the same as risk, and (3) risk…
Probability/Bayes | Science/Technology | Risk Analysis | Environmental Health | Policy/Regulation | Business/Industry | Climate/Environment | Energy/Engineering | Government/Law | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Forensic Pattern Recognition
This module uses latent print (fingerprint) identification as a case study of the broader category …
This module uses latent print (fingerprint) identification as a case study of the broader category of forensic pattern recognition evidence. The case of forensic pattern recognition evidence is meant, in turn, to be a case study of the broader issue of the interaction between science and law and policy. The case of fingerprinting identification poses challenging questions for legal professionals and policy-makers. Although fingerprint identification is one of the most widely used and widely trusted…
Probability/Bayes | Science/Technology | Decision Theory | Decision Analysis | Policy/Regulation | Government/Law | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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 | Science/Technology | Evidence Synthesis | Mathematical Models | Chronic Disease/Risk | Health Systems | Clinical Care | Health/Medicine | 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 | Economics/Finance | Costing Methods | Evidence Synthesis | Mathematical Models | Microsimulation | Chronic Disease/Risk | Health Systems | Policy/Regulation | Clinical Care | Health/Medicine | North America -
BookPublication 2016Foundations of Decision Analysis
This book is described by the authors as emerging from what they have learned by …
This book is described by the authors as emerging from what they have learned by "teaching decision analysis to thousands of people in the United States and around the world in university classes and special professional educational programs". The early chapters and certain later chapters are written to be accessible to a general audience. Chapters 1 through 17 introduce the foundations of decision analysis without requiring significant mathematical sophistication. Chapter 26 discusses multi-attribute decision problems…
Probability/Bayes | Economics/Finance | Decision Theory | Decision Psychology | Decision Analysis | Operations Research | Business/Industry | Energy/Engineering | Government/Law | Health/Medicine | Military/Defense | Global