Resources Repository
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Tutorial/PrimerWeb Portal, Teaching Resource 2015Decision Theory
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference …
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference work available online. Decision theory is concerned with the reasoning underlying an person's choices, whether a mundane choice between taking the bus or getting a taxi, or a more far-reaching choice about whether to pursue a demanding political career. The orthodox normative decision theory, expected utility (EU) theory, essentially says that, in situations of uncertainty, one should prefer the option…
Decision Theory | Preferences/Values | Economics/Finance | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Resource PortalWeb Portal, Teaching Resource 2024Decision Sciences Institute
The Decision Sciences Institute (DSI) was founded in 1968 as the American Institute for the …
The Decision Sciences Institute (DSI) was founded in 1968 as the American Institute for the Decision Sciences (renamed to the Decision Science Institute in 1986). DSI is an independent non-profit organization with a mission to enrich the discipline of decision sciences and improve educational programs and instruction in decision sciences. DSI conducts annual meetings at the national and the regional levels, and produces a monthly news publication called “Decision Line” as well as two journals,…
Operations Research | Decision Analysis | Business/Industry | Climate/Environment | Health/Medicine | Global | College | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2017OR-Library
The OR-Library serves as an educator tool by providing a collection of test data sets …
The OR-Library serves as an educator tool by providing a collection of test data sets for a variety of problems in operations research (OR). They were developed and used by J E Beasley and he has made them available for use by any students and teachers interested in OR subject provided he is acknowledged and identified as their author. J E Beasley completed his PhD in Management Science at Imperial College, London, was a faculty member…
Operations Research | Business/Industry | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2017Guide to Regulatory Impact Analysis
Regulatory impact analyses (RIAs) weigh the benefits of regulations against the burdens they impose and …
Regulatory impact analyses (RIAs) weigh the benefits of regulations against the burdens they impose and are invaluable tools for informing decision makers. The Consumer’s Guide to Regulatory Impact Analysis: Ten Tips for Being an Informed Policymaker offers 10 tips for non-specialist policymakers and interested stakeholders who will be reading RIAs as consumers.
Risk Analysis | Benefit-Cost Analysis | Government/Law | Global -
Tutorial/PrimerPublication, Teaching Resource 2014Decision Theory: A Formal Philosophical Introduction
Decision theory is the study of how choices are and should be made in a …
Decision theory is the study of how choices are and should be made in a variety of different contexts. The author approaches the topic from a formal-philosophical point of view with a focus on normative and conceptual issues. After considering the question of how decision problems should be framed, he examines both the standard theories of chance under conditions of certainty, risk and uncertainty and some of the current debates about how uncertainty should be measured and how…
Decision Theory | Preferences/Values | Economics/Finance | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2017Bayesian Methods for Calibrating Health Policy Models: A Tutorial
This article provides a tutorial on Bayesian approaches for model calibration. It describes the theoretical …
This article provides a tutorial on Bayesian approaches for model calibration. It describes the theoretical basis for Bayesian calibration approaches as well as pragmatic considerations that arise in the tasks of creating calibration targets, estimating the posterior distribution, and obtaining results to inform the policy decision. These considerations, as well as the specific steps for implementing the calibration, are described in the context of an extended worked example about the policy choice to provide (or…
Calibration/Validation | Infectious Diseases | Health/Medicine -
ArticlePublication 2017Using Data-Driven Agent-Based Models to Forecast Emerging Infectious Diseases
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which …
This paper describes an agent-based model framework developed to forecast the 2014-15 Ebola epidemic, which was subsequently used in the Ebola forecasting challenge. Producing timely and reliable forecasts for an epidemic of an emerging infectious disease is a challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding of the disease dynamics, a rapidly changing social environment and the uncertainty around the effects of various interventions in place. In this setting,…
Calibration/Validation | Microsimulation | Dynamic Simulation | Infectious Diseases | Health/Medicine | Sub-Saharan Africa -
ReviewPublication 2017Validation and Calibration of Structural Models that Combine Information from Multiple Sources
This is a review of calibration and validation methods in mathematical modeling. Such models that …
This is a review of calibration and validation methods in mathematical modeling. Such models that attempt to capture structural relationships between their components and combine information from multiple sources are increasingly used in medicine. The authors provide an overview of methods for model validation and calibration and survey studies comparing alternative approaches. Model validation entails a confrontation of models with data, background knowledge, and other models, and can inform judgments about model credibility. Calibration involves…
Calibration/Validation | Mathematical Models | Health/Medicine -
ArticlePublication 2017Designing an Optimal HIV Programme for South Africa
This 2017 study compares the traditional and a novel method of comparing cost-effectiveness interventions in …
This 2017 study compares the traditional and a novel method of comparing cost-effectiveness interventions in the context of HIV in South Africa, using a modeling approach. The authors argue that the assumptions of a) independence of interventions, and b) linear scale-up effects do not hold because South Africa has a large domestically funded HIV program with highly saturated coverage levels. The authors therefore aim to better allocate resources for HIV interventions in South Africa when…
Operations Research | Priority Setting/Ethics | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Economics/Finance | Health/Medicine | Sub-Saharan Africa