Matching-Adjusted Indirect Comparison
A method comparing treatments from separate trials with different populations by reweighting one trial's patient data to match the other trial's reported characteristics.
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A method comparing treatments from separate trials with different populations by reweighting one trial's patient data to match the other trial's reported characteristics.
The branch of mathematics concerned with the representation and manipulation of matrices and the operations performed on them.
The process of finding a matrix that, when multiplied by the original matrix, produces the identity matrix.
An operation that combines two compatible matrices by calculating the dot products of their rows and columns.
A social welfare decision rule judging an allocation by the wellbeing of the worst-off group, seeking to maximise that minimum level.
A method estimating a model's parameters by finding the values that make the observed data most probable.
The process of applying maximum likelihood estimation to determine the parameter values of a chosen model that best fit observed data.
The application of multi-criteria decision analysis within assessment, weighing multiple factors such as benefit, cost, and equity together explicitly.
A central tendency measure calculated as the sum of a set of values divided by the number of values.
A measure of average prediction error magnitude between predicted and actual values, calculated without regard to whether errors are positive or negative.
A measure of the average squared difference between predicted and actual values, penalising larger errors more heavily due to squaring.
Inaccuracy in a recorded value relative to its true value, either random, adding noise, or systematic, consistently over- or under-estimating in one direction.
A branch of economic theory concerned with designing rules, such as auctions or payment systems, that produce good outcomes despite strategic, privately informed participants.
A central tendency measure representing the middle value of an ordered dataset, dividing it into two equal halves.
A statistical approach examining whether an exposure's effect on an outcome operates through an intermediate variable, called a mediator, rather than directly.
A regulatory measure requiring insurers to spend a minimum percentage of premium revenue on claims and quality improvement, rather than administration or profit.
A measure of how frequently mistakes occur in prescribing, dispensing, or administering medications within a healthcare organisation.
A quantitative adherence measure calculated as the proportion of days within a period a patient had the medication available, based on refill data.
The defining property of a Markov process that future transition probabilities depend only on the present state, with no influence from the path taken.
A statistical technique combining the quantitative results of multiple independent studies addressing the same question into a single, more precise estimate.