Dynamic Programming
An algorithmic technique that solves a problem by combining solutions to overlapping subproblems and storing those solutions to avoid repeated computation.
Explore comprehensive, evidence-informed explanations of key health economics concepts, including their development, application and relationships to other concepts. Published entries are validated through human expert review.
An algorithmic technique that solves a problem by combining solutions to overlapping subproblems and storing those solutions to avoid repeated computation.
An optimisation technique solving complex sequential decision problems by breaking them into smaller, nested subproblems solved in relation to one another.
An epidemiological model representing how infection risk for a susceptible individual depends on current population prevalence, capturing feedback such as herd immunity.
The assessment of a health technology during development to inform design, evidence generation, pricing and market-access strategy.
Economic evaluation compares the costs and outcomes of healthcare alternatives to inform decisions about value and limited resource allocation.
A set of governmental choices affecting resource allocation, incentives, financing and economic activity.
A quantitative measure of a phenomenon's magnitude, such as the difference between two groups, expressed to allow comparison across studies using different scales.
The statistical process of calculating a quantitative measure of a treatment effect's magnitude, often standardised to allow comparison across differing measurement scales.
The average number of secondary infections from one infected person in a population not entirely susceptible, accounting for existing immunity or control measures.
The sample size a simple random sample would need to match the precision of an actual sample from a more complex design, such as clustered.
Efficiency describes how well scarce resources are used to produce valued outputs or outcomes, including whether resources are used without avoidable waste and whether they are allocated among competing uses in a way that best advances stated objectives.
The boundary formed by non-dominated interventions plotted by cost and effect, showing the best attainable outcome at each level of spending.
A method identifying the best-observed combinations of inputs and outputs among comparable units, forming a frontier against which all others are benchmarked.
An analytical approach that identifies the efficiency frontier among a set of interventions to determine which non-dominated options warrant incremental comparison.
A summary statistic quantifying a provider's relative efficiency at converting inputs into outputs, commonly derived from data envelopment analysis.
An experimental design built to maximise the statistical information obtained from a given number of choice tasks.
A statistical test for funnel plot asymmetry, and by extension potential publication bias, using regression of effect estimates against standard errors.
A mathematical quantity indicating the amount of variance explained by its corresponding direction, used in factor analysis to decide how many factors to keep.
A non-zero vector whose direction remains unchanged when transformed by a matrix, although its magnitude may be scaled.
A condition in which quantity demanded changes proportionally more than a given price change, indicating consumers are relatively sensitive to price.