Biomaterial Database

Value of information methods for assessing a new diagnostic test. 2014

Maggie Hong Chen, and Andrew R Willan

Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Value-of-information methods are applied to assess the evidence in support of a new diagnostic test and, where the evidence is insufficient for decision making, to determine the optimal sample size for future studies. Net benefit formulations are derived under various diagnostic and treatment scenarios. The expressions for the expected opportunity loss of adopting strategies that include the new test are given. Expressions for the expected value of information from future studies are derived. One-sample and two-sample designs, with or without known prevalence, are considered. An example is given.

UI	MeSH Term	Description	Entries
D011247	Pregnancy	The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH.	Gestation,Pregnancies
D011655	Pulmonary Embolism	Blocking of the PULMONARY ARTERY or one of its branches by an EMBOLUS.	Pulmonary Thromboembolism,Thromboembolism, Pulmonary,Embolism, Pulmonary,Embolisms, Pulmonary,Pulmonary Embolisms,Pulmonary Thromboembolisms,Thromboembolisms, Pulmonary
D003362	Cost-Benefit Analysis	A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. In contrast a cost effectiveness in general compares cost with qualitative outcomes.	Cost and Benefit,Cost-Benefit Data,Benefits and Costs,Cost Benefit,Cost Benefit Analysis,Cost-Utility Analysis,Costs and Benefits,Economic Evaluation,Marginal Analysis,Analyses, Cost Benefit,Analysis, Cost Benefit,Analysis, Cost-Benefit,Analysis, Cost-Utility,Analysis, Marginal,Benefit and Cost,Cost Benefit Analyses,Cost Benefit Data,Cost Utility Analysis,Cost-Benefit Analyses,Cost-Utility Analyses,Data, Cost-Benefit,Economic Evaluations,Evaluation, Economic,Marginal Analyses
D003662	Decision Theory	A theoretical technique utilizing a group of related constructs to describe or prescribe how individuals or groups of people choose a course of action when faced with several alternatives and a variable amount of knowledge about the determinants of the outcomes of those alternatives.	Decision Theories,Theories, Decision,Theory, Decision
D003955	Diagnostic Tests, Routine	Diagnostic procedures, such as laboratory tests and x-rays, routinely performed on all individuals or specified categories of individuals in a specified situation, e.g., patients being admitted to the hospital. These include routine tests administered to neonates.	Admission Tests, Routine,Hospital Admission Tests,Physical Examination, Preadmission,Routine Diagnostic Tests,Admission Tests, Hospital,Diagnostic Test, Routine,Diagnostic Tests,Examination, Preadmission Physical,Preadmission Physical Examination,Routine Diagnostic Test,Test, Routine Diagnostic,Tests, Diagnostic,Tests, Hospital Admission,Tests, Routine Diagnostic,Admission Test, Hospital,Admission Test, Routine,Diagnostic Test,Examinations, Preadmission Physical,Hospital Admission Test,Physical Examinations, Preadmission,Preadmission Physical Examinations,Routine Admission Test,Routine Admission Tests,Test, Diagnostic,Test, Hospital Admission,Test, Routine Admission,Tests, Routine Admission
D005188	False Negative Reactions	Negative test results in subjects who possess the attribute for which the test is conducted. The labeling of diseased persons as healthy when screening in the detection of disease. (Last, A Dictionary of Epidemiology, 2d ed)	False Negative Reaction,Reaction, False Negative,Reactions, False Negative
D005189	False Positive Reactions	Positive test results in subjects who do not possess the attribute for which the test is conducted. The labeling of healthy persons as diseased when screening in the detection of disease. (Last, A Dictionary of Epidemiology, 2d ed)	False Positive Reaction,Positive Reaction, False,Positive Reactions, False,Reaction, False Positive,Reactions, False Positive
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001499	Bayes Theorem	A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.	Bayesian Analysis,Bayesian Estimation,Bayesian Forecast,Bayesian Method,Bayesian Prediction,Analysis, Bayesian,Bayesian Approach,Approach, Bayesian,Approachs, Bayesian,Bayesian Approachs,Estimation, Bayesian,Forecast, Bayesian,Method, Bayesian,Prediction, Bayesian,Theorem, Bayes