- theory and concepts
- decision theory
- decision psychology
- probability/bayes
- preferences/values
- priority setting/ethics
- models and tools
- mathematical models
- state-transition
- dynamic transmission
- microsimulation
- calibration/validation
- dynamic simulation
- culture/society
- education/labor
- science/technology
Resources Repository
-
ArticlePublication 2013Contribution of H. Pylori and Smoking to US Incidence of Gastric Adenocarcinoma: A Microsimulation Model
Although gastric cancer has declined dramatically in the US, the disease remains the second leading …
Although gastric cancer has declined dramatically in the US, the disease remains the second leading cause of cancer mortality worldwide. This analysis estimates the contribution of risk factor trends on past and future intestinal-type non-cardia gastric adenocarcinoma (NCGA) incidence. The authors developed a population-based microsimulation model of intestinal-type NCGA and calibrated it to U.S. epidemiologic data on precancerous lesions and cancer. The model explicitly incorporated the impact of Helicobacter pylori and smoking on disease natural history, for which…
Microsimulation | Calibration/Validation | Culture/Society | Chronic Disease/Risk | Social Determinants | Health/Medicine | North America -
ArticlePublication 2011Health and Economic Impact of HPV 16/18 Vaccination and Cervical Cancer Screening in Eastern Africa
In this article the authors use epidemiologic data from Kenya, Mozambique, Tanzania, Uganda, and Zimbabwe …
In this article the authors use epidemiologic data from Kenya, Mozambique, Tanzania, Uganda, and Zimbabwe to develop models of HPV-related infection and disease. For each country, they assessed HPV vaccination of girls before age 12 followed by screening with HPV DNA testing once, twice, or three times per lifetime (at ages 35, 40, 45). For women over age 30, they assessed only screening (with HPV DNA testing up to three times per lifetime or VIA…
Microsimulation | Calibration/Validation | Science/Technology | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Economics/Finance | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2008Health and Economic Impact of HPV 16 and 18 Vaccination and Cervical Cancer Screening in India
As cervical cancer is a leading cause of cancer death among women in low-income countries, …
As cervical cancer is a leading cause of cancer death among women in low-income countries, with approximately 25% of cases worldwide occurring in India, these authors estimated the potential health and economic impact of different cervical cancer prevention strategies in India. After empirically calibrating a cervical cancer model to country-specific epidemiologic data, they projected cancer incidence, life expectancy, and lifetime costs (I$2005), and calculated incremental cost-effectiveness ratios (I$/YLS) for the following strategies: pre-adolescent vaccination of…
Microsimulation | Calibration/Validation | Science/Technology | Cost-Effectiveness Analysis | Infectious Diseases | Chronic Disease/Risk | Health Systems | Clinical Care | Economics/Finance | Health/Medicine | Asia & Pacific -
ArticlePublication 2007Modeling HPV and Cervical Cancer in the U.S. for Analyses of Screening and Vaccination
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty …
This paper discusses a model of human papillomavirus (HPV) and cervical cancer that incorporates uncertainty about the natural history of disease that was used to provide quantitative insight into U.S. policy choices for cervical cancer prevention. The authors developed a stochastic microsimulation of cervical cancer that distinguishes different HPV types by their incidence, clearance, persistence, and progression. For each set of sampled input parameters, likelihood-based goodness-of-fit (GOF) scores were computed based on comparisons between model-predicted…
Microsimulation | Calibration/Validation | Science/Technology | Infectious Diseases | Chronic Disease/Risk | Clinical Care | Health/Medicine | North America -
ReportPublication 2003ISPOR Task Force Report: Good Practice for Decision Analytic Modeling in Health-Care
This report describes the consensus of a task force convened to provide modelers with guidelines …
This report describes the consensus of a task force convened to provide modelers with guidelines for conducting and reporting modeling studies. While published more than a decade ago, it remains a clearly written resource for thinking about how to accurately describe the components of models and their quality. Criteria for assessing the quality of models fell into three areas: model structure, data used as inputs to models, and model validation. Several major themes cut across…
Mathematical Models | Calibration/Validation | Science/Technology | Health/Medicine | Global -
ArticlePublication 2000Discipline of Cost-Benefit Analysis
Cost-benefit analysis is a general discipline, based on the use of some foundational principles, which …
Cost-benefit analysis is a general discipline, based on the use of some foundational principles, which are not altogether controversial, but have nevertheless considered plausibility. Divisiveness increases as various additional requirements are imposed. There is a trade-off here between easier usability (through locked-up formulae) and more general acceptability (through allowing parametric variations). The paper, by Amartya Sen, examines and scrutinizes the merits and demerits of these additional requirements. The particular variant of cost-benefit approach that is…
Priority Setting/Ethics | Preferences/Values | Culture/Society | Benefit-Cost Analysis | Economics/Finance | Government/Law -
ReviewPublication 1982Decision Analysis: An Overview
This article, written for the non-decision analyst, describes what decision analysis is, what it can …
This article, written for the non-decision analyst, describes what decision analysis is, what it can and cannot do, why one should care to do this, and how one does it. Keeney describes decision analysis as "a formalization of common sense for decision problems which are too complex for informal use of common sense." He provides a more technical definition also, describing decision analysis as "a philosophy, articulated by a set of logical axioms, and a methodology…
Preferences/Values | Decision Theory | Science/Technology | Decision Analysis | Policy/Regulation | Business/Industry | Economics/Finance | Energy/Engineering | Government/Law | Health/Medicine | Military/Defense -
ArticlePublication 2022Estimated Transmission Outcomes and Costs of SARS-CoV-2 Diagnostic Testing, Screening, and Surveillance Strategies Among a Simulated Population of Primary School Students
In the wake of the COVID-19 pandemic's significant educational disruptions, the U.S. government allocated $10 …
In the wake of the COVID-19 pandemic's significant educational disruptions, the U.S. government allocated $10 billion in March 2021 for testing in schools. The study aimed to analyze the costs and benefits of different COVID-19 testing strategies, particularly focusing on full-time, in-person elementary and middle school education. Utilizing an updated agent-based network model, the study simulated transmission scenarios in schools, considering various testing strategies ranging from diagnostic testing (test-to-stay) to reduce symptom-based isolations, routine screening…
Mathematical Models | Science/Technology | Test Performance | Cost-Effectiveness Analysis | Infectious Diseases | Clinical Care | Health/Medicine | North America -
ArticlePublication 2020Interpreting COVID-19 Test Results: A Bayesian Approach
This article considers the following question with respect to interpreting the results of polymerase chain reaction …
This article considers the following question with respect to interpreting the results of polymerase chain reaction (PCR) assays from nasal and pharyngeal swabs for COVID-19 to inform clinical decision making: "While a positive result in an acutely ill patient is straightforward, how should physicians interpret negative tests in patients with suspected COVID-19 infection?" Using an assumption of near-perfect specificity of PCR assays for COVID-19, the authors acknowledge the uncertainty of test sensitivity. They consider two clinical scenarios…
Probability/Bayes | Science/Technology | Test Performance | Infectious Diseases | Health/Medicine | Global