Resources Repository
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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 -
ReportPublication 2017Economic Value of Informal Mental Health Caring
Caregivers, family and friends play a significant role in supporting people with mental illness, and …
Caregivers, family and friends play a significant role in supporting people with mental illness, and it has long been recognized that informal carers constitute a significant ‘hidden’ workforce in Australia. Faced as Australia is with an ageing population and burgeoning chronic disease, data on the contribution that carers make and the consequent savings to governments and other ‘payers’ need to be articulated. This report attempts to put a ‘value’ on informal caring for those with mental illness.…
Benefit-Cost Analysis | Preferences/Values | Costing Methods | Health Outcomes | Cost-Effectiveness Analysis | Chronic Disease/Risk | Mental Health | Health Systems | Economics/Finance | Health/Medicine | Oceania -
ArticlePublication 2017Valuing Non-Fatal Risks: Monetary and Health-Utility Measures
This article discusses metrics for valuing environmental, health, and safety policies, which should be consistent …
This article discusses metrics for valuing environmental, health, and safety policies, which should be consistent with both the preferences of affected individuals and social preferences for distribution of health risks in the population. Two classes of metrics are widely used: monetary measures (e.g., willingness to pay) and health-utility measures (e.g., quality-adjusted life years (QALYs), disability-adjusted life years (DALYs)). Health-utility measures impose more structure than monetary measures, with the result that individuals’ preferences often appear inconsistent…
Benefit-Cost Analysis | Preferences/Values | Policy/Regulation | Climate/Environment | College | Graduate | Critical Thinking/Analysis -
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 2016Economic Evaluation: Bibliometric Analysis of Recent Literature
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects …
This bibliometric analysis focuses on recently published full economic evaluations of health interventions and reflects critically on the implications of the findings. The authors created a database drawing on 14 health, economic, and/or general literature databases for articles published between 1 January 2012 and 3 May 2014 and identified 2844 economic evaluations. They examined the distribution of publications between countries, regions, and health areas studied and compared the relative volume of research with disease burden.…
Benefit-Cost Analysis | Priority Setting/Ethics | Cost-Effectiveness Analysis | Health Systems | Economics/Finance | Health/Medicine | Science/Technology | Global -
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 | Dynamic Transmission | Dynamic Simulation | Infectious Diseases | Health Systems | Health/Medicine | Global -
GuidelinesPublication 2017Guidelines for Regulatory Impact Analysis: A Primer
This “Frequently Asked Question” style document gives a brief overview of Regulatory Impact Analysis (RIA), …
This “Frequently Asked Question” style document gives a brief overview of Regulatory Impact Analysis (RIA), a method used by the US government to assess the consequences of proposed policies and their alternatives. The document is aimed at those who are new to the topic. RIAs apply a framework for collecting, organizing, and evaluating data. They help ensure that regulatory actions are justified and necessary to achieve social goals, and that these actions are implemented in the…
Benefit-Cost Analysis | Business/Industry | Government/Law | North America