Resources Repository
-
ArticlePublication 2007Decision Analysis: A Personal Account of How It Got Started and Evolved
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement …
In this chapter, Howard Raiffa discusses the evolution of decision analysis and his personal involvement in its development. He describes the early days of Operations Research (OR) in the late 1940s with its approach to complex, strategic decision making. After reading John von Neumann and Oskar Morgenstern’s Theory of Games and Economic Behavior (1947) and Abraham Wald’s two books (1947, 1950), he became involved in statistical decision theory. A few years later, after reading Leonard…
Operations Research | Decision Analysis | Energy/Engineering | Decision Theory | Probability/Bayes | Preferences/Values | Business/Industry | Economics/Finance | Health/Medicine -
ArticlePublication 2017Reduced Burden of Childhood Diarrheal Diseases through Increased Access to Water and Sanitation in India: Modeling Analysis
This analysis estimates the health and economic benefits of scaling up the coverage of piped …
This analysis estimates the health and economic benefits of scaling up the coverage of piped water and improved sanitation to a near-universal 95% level among Indian households. The authors used an agent-based microsimulation platform, IndiaSim, to model disease progression and individual healthcare-seeking behavior in India, and use ECEA to estimate health and economic outcomes over time. They found that scaling up access to piped water and improved sanitation could avert 43,352 diarrheal episodes and 68…
Microsimulation | Energy/Engineering | Priority Setting/Ethics | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Child/Nutrition | Social Determinants | Environmental Health | Economics/Finance | Health/Medicine | Science/Technology | Asia & Pacific -
ReviewPublication 2015Agent-Based Models and Microsimulation
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models …
This article reviews the principles and applications of agent-based models (ABMs). ABMs are computational models used to simulate the actions and interactions of “agents” within a system. Usually, each agent has a set of rules for how he or she responds to the environment and to other agents. These models are used to gain insight into the emergent behavior of complex systems with many agents, in which the emergent behavior depends upon the micro-level behavior…
Microsimulation | Energy/Engineering | Mathematical Models | State-Transition | Dynamic Simulation | Health/Medicine | Military/Defense | Science/Technology -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Decision Analysis | Energy/Engineering | Decision Theory | Preferences/Values | Policy/Regulation | Business/Industry | Economics/Finance | Government/Law | Health/Medicine | Military/Defense | Science/Technology