Resources Repository
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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 -
Tools/ModelsInteractive, Teaching Resource 2020Interactive Graphic: Interpreting a COVID-19 Test Result
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction …
Currently, the most common diagnostic test for COVID-19 relies on reverse transcriptase polymerase chain reaction (RT-PCR), and most often uses samples obtained from the respiratory tract by nasopharyngeal swab. This interactive graphic demonstrates the influence of the prior probability of COVID-19, the test sensitivity (i.e., the probability of a positive test conditional on disease presence), and the test specificity (i.e., the probability of a negative test conditional on disease absence) on the post-test probability of…
Probability/Bayes | Test Performance | Infectious Diseases | Clinical Care | Health/Medicine | Science/Technology | High School | College | Graduate | Doctoral | Professional | Graphics/Visualization | Quantitative Literacy -
ToolInteractive, Teaching Resource 2020RAND Critical Care Surge Response Tool
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) …
This Excel-based model allows decisionmakers at all levels (i.e., hospitals, health care systems, states, regions) to examine the current critical care capacity in the nation’s hospitals and rapidly explore strategies for increasing capacity to provide care for the sickest COVID-19 patients. The tool was developed by the RAND Corporation in response to the 2020 COVID-19 pandemic. Model input parameters to the Excel spreadsheet include baseline number of beds, critical care doctors and nurses, respiratory therapists,…
Operations Research | Priority Setting/Ethics | Mathematical Models | Infectious Diseases | Health/Medicine | North America | Professional | Policy Translation -
Online LearningWeb Portal, Teaching Resource 2018Fat Chance: Probability from the Ground Up
This is an introductory edX course in probability. Created specifically for those who are new …
This is an introductory edX course in probability. Created specifically for those who are new to the study of probability, or for those who are seeking an approachable review of core concepts prior to enrolling in a college-level statistics course, this course develops a mathematical mode of thought over rote memorization of terms and formulae. Through visual lessons and guided practice, this course explores the quantitative reasoning behind probability and the cumulative nature of mathematics…
Probability/Bayes | Middle School | High School | College | 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/PrimerWeb Portal, Teaching Resource 2018OR-Notes
OR-Notes are a series of introductory notes on topics that fall under the broad heading …
OR-Notes are a series of introductory notes on topics that fall under the broad heading of the field of operations research (OR). They were developed and used by J E Beasley in an introductory OR course at Imperial College. He has made them available for use by any students and teachers interested in OR subject provided he is acknowledged and identified as their author. J E Beasley completed his PhD in Management Science at Imperial…
Operations Research | Business/Industry -
Online LearningVideo, Teaching Resource 2023Khan Videos: Conditional Probability
These three videos, produced by Khan Academy, focus on conditional probability. Conditional probability with Bayes' …
These three videos, produced by Khan Academy, focus on conditional probability. Conditional probability with Bayes' Theorem (~5 min). Created by Brit Cruise, this video presents conditional probability visually using trees. Conditional probability and independence (~4 min). This video uses conditional probability to see if events are independent or not. Conditional probability tree diagram (~11 min). This video uses a tree diagram to work out the following conditional probability question: If someone fails a drug test, what is the…
Probability/Bayes | Health/Medicine | Science/Technology | High School | College | Graduate | Quantitative Literacy -
Tutorial/PrimerPublication, Teaching Resource 2015Calibration of Complex Models through Bayesian Evidence Synthesis: A Tutorial
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to …
This tutorial demonstrates how to implement a Bayesian synthesis of diverse sources of evidence to calibrate the parameters of a complex model. To illustrate these methods, the authors demonstrate how a previously developed Markov model for the progression of human papillomavirus (HPV-16) infection was rebuilt in a Bayesian framework. Transition probabilities between states of disease severity are inferred indirectly from cross-sectional observations of prevalence of HPV-16 and HPV-16–related disease by age, cervical cancer incidence, and…
Calibration/Validation | Infectious Diseases -
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