Resources Repository
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Tutorial/PrimerPublication, Teaching Resource 1980Threshold Approach to Clinical Decision Making
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and …
This classic paper provides a "tutorial" for students learning about diagnostic testing, probability revision, and how to calculate thresholds for testing, treatment, and no treatment. The authors describe how a physician's estimate of the probability that a patient has a particular disease is a principal factor in the determination of whether to withhold treatment, obtain more data by testing, or treat without subjecting the patient to the risks of further diagnostic tests. Using the concepts of decision analysis,…
Probability/Bayes | Test Performance | Value of Information | Decision Analysis | Health/Medicine -
Tutorial/PrimerPublication, Teaching Resource 2023Conducting Trial-Based Economic Evaluations Using R: A Tutorial
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological …
Trial-based economic evaluations are increasingly conducted to support healthcare decision-making but there are inevitable methodological challenges. This tutorial provides step-by-step guidance on how to combine appropriate statistical methods using a ready-to-use R script, and addresses missing data, correlated costs and effects, baseline imbalances, and skewness of costs and/or effects. The authors also provide the theoretical background of these methods, and demonstrate their application through a simulated trial-based economic evaluation.
Costing Methods | Evidence Synthesis | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2005Refining Clinical Diagnosis with Likelihood Ratios
This article serves as a concise tutorial about the interpretation and use of likelihood ratios …
This article serves as a concise tutorial about the interpretation and use of likelihood ratios in clinical decision-making. Likelihood ratios can refine clinical diagnosis on the basis of signs and symptoms; however, they are underused for patients' care. A likelihood ratio is the percentage of ill people with a given test result divided by the percentage of well individuals with the same result. Ideally, abnormal test results should be much more typical in ill individuals…
Test Performance | Value of Information | Health/Medicine -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Building Decision Trees
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a …
This tutorial illustrates the basic steps needed to develop decision trees in Amua using a disease screening example. It details the process of how to build the structure of a decision tree, parameterize the model with probabilities and relevant outcomes (i.e., life expectancy), evaluate three alternative screening strategies in a baseline scenario, and perform one-way sensitivity analyses to assess the robustness of the results to different parameter values. Amua, the Swahili word meaning “decide”/“solve”, is…
Probability/Bayes | Mathematical Models | Decision Analysis | Clinical Care | Health/Medicine | Graduate | Doctoral | Professional -
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.
Benefit-Cost Analysis | Risk Analysis | Government/Law | Global -
Tutorial/PrimerPublication, Teaching Resource 2017Discrete Choice Experiments: A Guide to Model Specification, Estimation and Software
This is a user guide on the analysis of data (including best-worst and best-best data) …
This is a user guide on the analysis of data (including best-worst and best-best data) generated from discrete-choice experiments (DCEs), comprising a theoretical review of the main choice models followed by practical advice on estimation and post-estimation. Authors also provide a review of standard software. Authors argue that choice of modelling approach depends on the research questions, study design and constraints in terms of quality/quantity of data and that decisions made in relation to analysis of…
Preferences/Values | Health Outcomes | Decision Analysis | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | 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 -
Tutorial/PrimerPublication, Teaching Resource 2015White Paper: Retrospective Benefit-Cost Analysis
In this article the authors consider how benefit-cost analysis can be used retrospectively to promote …
In this article the authors consider how benefit-cost analysis can be used retrospectively to promote understanding of the impacts after a policy is implemented. Serving as a brief primer, the authors propose that analysis can be useful for identifying needed reforms as well as in improving the conduct of future prospective analyses. The major challenges relate to estimating what would have occurred in the absence of the policy and separating the effects of the policy…
Benefit-Cost Analysis | Priority Setting/Ethics | Social Determinants | Environmental Health | Policy/Regulation | Culture/Society | Economics/Finance | Government/Law | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Policy Translation -
Tutorial/PrimerPublication, Teaching Resource 2015Educational Review of the Statistical Issues in Utility Data for CEA
The aim of cost-utility analysis is to support decision making in healthcare by providing a …
The aim of cost-utility analysis is to support decision making in healthcare by providing a standardized mechanism for comparing resource use and health outcomes across programmes of work. The focus of this review is the denominator of the cost-utility analysis, specifically the methodology and statistical challenges associated with calculating QALYs from patient-level data collected as part of a trial. The authors provide a brief description of the most common questionnaire used to calculate patient level…
Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Health/Medicine