Resources Repository
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GuidelinesPublication, Teaching Resource 2018Behavioral Economics Guide 2018
The 2018 Behavioral Economics Guide provides an introduction to behavioral economics, a review of developments …
The 2018 Behavioral Economics Guide provides an introduction to behavioral economics, a review of developments in the field, insights from practitioners, and general resources such as postgraduate programs and scholarly journals. This is the fifth edition of this now yearly publication. The 2018 edition features an introduction written by Robert Cialdini. Behavioraleconomics.com is the official home of the Behavioral Economics Guide. The guide is downloadable free of charge from the website.
Decision Theory | Decision Psychology | Preferences/Values | College | Graduate | Doctoral | Professional -
Tutorial/PrimerWeb Portal, Teaching Resource 2015Decision Theory
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference …
This chapter on normative decision theory is from the Stanford Encyclopedia of Philosophy, a dynamic reference work available online. Decision theory is concerned with the reasoning underlying an person's choices, whether a mundane choice between taking the bus or getting a taxi, or a more far-reaching choice about whether to pursue a demanding political career. The orthodox normative decision theory, expected utility (EU) theory, essentially says that, in situations of uncertainty, one should prefer the option…
Decision Theory | Preferences/Values | Economics/Finance | 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 Outcomes | Preferences/Values | Decision Analysis | Economics/Finance | Health/Medicine | Graduate | Doctoral | Professional | Quantitative Literacy -
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 -
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 -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Drug-Induced Birth Defects
Using the currently topical issue of whether SSRI (Selective Serotonin Reuptake Inhibitor) anti-depressants cause birth …
Using the currently topical issue of whether SSRI (Selective Serotonin Reuptake Inhibitor) anti-depressants cause birth defects, the module aims to provide students with a general understanding of the following: (1) human risk factor causation as determined by epidemiologic methods; (2) the limits of non-human toxicological evidence to the assessment of causality in humans; (3) the importance of pharmacovigilance for all medications; (4) special difficulties in identifying causes of human birth defects; (5) the importance of…
Health Outcomes | Evidence Synthesis | Risk Analysis | Child/Nutrition | Chronic Disease/Risk | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Vaccines
This module engages students in learning about association and causation in the context of vaccines, …
This module engages students in learning about association and causation in the context of vaccines, their side effects, and legal issues that could arise as a result of side effects associated with vaccinations. The module employs five case studies. In the first two case studies, a child receives a vaccination, and students must determine whether an event (vaccination) causes a side effect in the child. In the third case study, a child who has not…
Health Outcomes | Risk Analysis | Technology Assessment | Infectious Diseases | Health Systems | Government/Law | Health/Medicine | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
Lesson/ModuleWeb Portal, Teaching Resource 2016Educational Module: Forensic Pattern Recognition
This module uses latent print (fingerprint) identification as a case study of the broader category …
This module uses latent print (fingerprint) identification as a case study of the broader category of forensic pattern recognition evidence. The case of forensic pattern recognition evidence is meant, in turn, to be a case study of the broader issue of the interaction between science and law and policy. The case of fingerprinting identification poses challenging questions for legal professionals and policy-makers. Although fingerprint identification is one of the most widely used and widely trusted…
Decision Theory | Probability/Bayes | Decision Analysis | Policy/Regulation | Government/Law | Science/Technology | Global | North America | College | Graduate | Doctoral | Critical Thinking/Analysis | Decision Making/Leadership | Quantitative Literacy -
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…
Health Outcomes | Preferences/Values | Cost-Effectiveness Analysis | Health/Medicine