Resources Repository
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ReviewPublication 2014Markov Modeling & Discrete Event Simulation in Health Care: Systematic Comparison
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) …
This review assesses whether the use of Markov modeling (MM) or discrete event simulation (DES) for cost-effectiveness analysis (CEA) may alter healthcare resource allocation decisions. A systematic literature search and review of empirical and non-empirical studies comparing MM and DES techniques used in the CEA of healthcare technologies was conducted. The primary advantages described for DES over MM were the ability to model queuing for limited resources, capture individual patient histories, accommodate complexity and uncertainty,…
Microsimulation | Mathematical Models | State-Transition | Health Systems | Clinical Care | Health/Medicine -
ReviewPublication 2013Public Health Economics: Review of Guidance for Economic Evaluation
This is a systematic review of published guidance for the economic evaluation of public health …
This is a systematic review of published guidance for the economic evaluation of public health interventions. Public Health Economics is the science and art of supporting decision making as to how society can use its available resources to advance health, and minimize opportunity cost. In this review, the authors identified 5 international guidance documents, 7 UK guidance documents and 4 documents by individual commentators. The papers reviewed identify the main methodological challenges that face analysts…
Costing Methods | Priority Setting/Ethics | Cost-Effectiveness Analysis | Health Systems | Policy/Regulation | Economics/Finance | Health/Medicine | Science/Technology | Europe -
ReviewPublication 2012Applying Decision Science to Managing National Forests
This publication is an example of the application of decision science to the management of …
This publication is an example of the application of decision science to the management of federal public forests, in particular to meet sustainability goals and multiple use regulations. Through three case studies, the authors describe four stages of a decision analytic approach: problem structuring (framing the problem and defining objectives and evaluation criteria), problem analysis (defining alternatives, evaluating likely consequences, identifying key uncertainties, and analyzing tradeoffs), decision point (identifying the preferred alternative), and implementation and monitoring…
Value of Information | Decision Analysis | Risk Analysis | Social Determinants | Environmental Health | Policy/Regulation | Climate/Environment | Government/Law -
ReviewPublication 2010Validation of Population-Based Disease Simulation Models: A Review
This article develops a framework for validating population-based chronic disease simulation models, and reviews the …
This article develops a framework for validating population-based chronic disease simulation models, and reviews the principles and methods for such models. While computer simulation models are used increasingly to support public health research and policy, questions about their quality persist. Based on the review, the authors formulated a set of recommendations for gathering evidence of model credibility. They find that evidence of model credibility derives from examining: 1) the process of model development, 2) the…
Calibration/Validation | Mathematical Models | Chronic Disease/Risk | Social Determinants | Health/Medicine -
ReviewPublication 2005Implications of Modern Decision Science for Military Decision-Support Systems
This review monograph was prepared in response to a request from the United States Air …
This review monograph was prepared in response to a request from the United States Air Force Research Laboratory for a study of modern decision science that would aid in its planning of research programs and, more specifically, developing methods and tools for decision support. The emphasis is on relatively high-level decisionmaking rather than, say, that of pilots or intelligence analysts in the midst of real-time operations. They focus largely on what the military refers to as…
Decision Psychology | Decision Theory | Decision Analysis | Military/Defense | 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 -
ReviewPublication 2001Modeling for Health Care and Other Policy Decisions: Uses, Roles and Validity
This is a review article of the role of modeling approaches to guide decision making …
This is a review article of the role of modeling approaches to guide decision making in health care and other domains. The role of models to support recommendations on the cost-effective use of medical technologies and pharmaceuticals is controversial. At the heart of the controversy is the degree to which experimental or other empirical evidence should be required prior to model use. The authors argue that the controversy stems in part from a misconception that…
Evidence Synthesis | Priority Setting/Ethics | Mathematical Models | Technology Assessment | Environmental Health | Health Systems | Policy/Regulation | Business/Industry | Climate/Environment | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | North America -
ReviewPublication 1978Basic Principles of ROC Analysis
The limitations of diagnostic "accuracy" as a measure of decision performance require introduction of the …
The limitations of diagnostic "accuracy" as a measure of decision performance require introduction of the concepts of the "sensitivity" and "specificity" yet even these do not provide a unique description of diagnostic performance because they depend on the arbitrary selection of a decision threshold. The receiver operating characteristic (ROC) curve is shown to be a simple yet complete empirical description of this decision threshold effect, indicating all possible combinations of the relative frequencies of the…
Test Performance | Clinical Care | Health/Medicine