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.
Preferences/Values | Decision Theory | Decision Psychology | 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…
Preferences/Values | Decision Theory | 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…
Preferences/Values | Health Outcomes | 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…
Preferences/Values | Decision Theory | Economics/Finance | Doctoral | Critical Thinking/Analysis | 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…
Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Health/Medicine -
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 1994Decision Theory: A Brief Introduction
Decision theory is theory about decisions. The subject is not a very unified one. To …
Decision theory is theory about decisions. The subject is not a very unified one. To the contrary, there are many different ways to theorize about decisions, and therefore also many different research traditions. This text attempts to reflect some of the diversity of the subject. This text, by Sven Ove Hansson, is a non-technical overview of modern decision theory. Its emphasis lies on the less (mathematically) technical aspects of decision theory. It is intended for university students…
Preferences/Values | Decision Theory | Economics/Finance | Graduate | Doctoral | Critical Thinking/Analysis | Quantitative Literacy -
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,…
Test Performance | Probability/Bayes | Value of Information | Decision Analysis | Health/Medicine