Resources Repository
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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 | Costing Methods | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2024Tutorial: Using Fire in Forest Management: Decision Making under Uncertainty
This self-directed tutorial is for a decision analytic model related to the execution and management …
This self-directed tutorial is for a decision analytic model related to the execution and management of prescribed burns within forests. This tutorial builds upon the work of the publication: Cohan D, Haas SM, Radloff DL, Yancik RF. Using Fire in Forest Management: Decision Making Under Uncertainty. Interfaces 1984; 14 (5): 8-19. Not open access. About the Alan Colowick Innovation Fund The case-based tutorials in this teaching pack were created with support from the CHDS Alan Colowick…
Mathematical Models | Climate/Environment | Decision Analysis | Environmental Health | Graduate | Doctoral | Professional -
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 Outcomes | Economics/Finance | Preferences/Values | Decision Analysis | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy