Resources Repository
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Resource PackPublication, Teaching Resource 2024Resource Pack: Extended Cost-Effectiveness Analysis
Health policies are intended to increase the uptake of effective and efficient interventions and result …
Health policies are intended to increase the uptake of effective and efficient interventions and result in health gains (e.g., premature mortality and morbidity averted). Health policies can also provide non-health benefits in addition to the sole well-being of populations and beyond the health sector. For instance, social and health insurance programs can prevent illness-related impoverishment and provide financial risk protection. Health policies can also improve the distribution of health in the population and promote health…
Priority Setting/Ethics | Health/Medicine | Costing Methods | Cost-Effectiveness Analysis | Social Determinants | Health Systems | Policy/Regulation | Culture/Society | Economics/Finance | Global | Graduate | Doctoral | Professional | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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.
Evidence Synthesis | Health/Medicine | Costing Methods | Economics/Finance | Graduate | Doctoral | Professional | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Probability Revision and Bayes
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications …
In this teaching pack on Probability Revision and Bayes, students are introduced to the implications of imperfect information, acquire a conceptual understanding of Bayes theorem, and gain practical skills in performing probability revision. Materials include an instructor's note, videos, companion slides, a glossary, an annotated bibliography, sample exercises, and additional support. Learning Objectives Demonstrate a conceptual understanding of Bayes’ theorem and probability revision. Differentiate between test characteristics (e.g., probability of positive test given…
Health/Medicine | Probability/Bayes | Test Performance | Decision Analysis | Environmental Health | College | Graduate | Critical Thinking/Analysis | Graphics/Visualization | Quantitative Literacy -
Teaching PackPublication, Teaching Resource 2022Teaching Pack: Using Test Information II
In this teaching pack on Using Test Information II, students are introduced to tests with …
In this teaching pack on Using Test Information II, students are introduced to tests with continuous or categorical results, and calculate the sensitivity and specificity conditional on different 'cutoff points' or 'positivity criterion'. They are introduced to ROC curves and explore the implications of operating at different parts of the curve for any single test. They calculate the optimal positivity criterion given information on the prior, the test performance, and the relative consequences of true…
Health/Medicine | Probability/Bayes | Test Performance | Decision Analysis | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
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…
Health/Medicine | Preferences/Values | Health Outcomes | Decision Analysis | Economics/Finance | Graduate | Doctoral | Professional | Quantitative Literacy