Response Surface Methodology
Statistical techniques for modelling and optimising the relationship between several inputs and an output by fitting a smooth surface to limited results.
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.
Statistical techniques for modelling and optimising the relationship between several inputs and an output by fitting a smooth surface to limited results.
A flexible function of piecewise cubic segments joined smoothly at knots, constrained to behave linearly beyond the outermost knots.
A collection of piecewise cubic functions joined at knots and constrained to extend linearly beyond the data range, used to model non-linear hazard shapes.
A survival summary measure calculated as the area under the survival curve up to a specified time point, an alternative to the hazard ratio.
A financial ratio calculated as net income divided by total assets, showing how efficiently an organisation uses its assets to generate profit.
A financial ratio calculated as net income divided by owner equity, showing the return generated on capital invested by an organisation's owners.
A measure of an investment's profitability, calculated as the net gain from the investment divided by its cost.
An index measuring the redistributive effect of a tax or transfer system, calculated as the difference between pre-tax and post-tax income Gini coefficients.
The most common form of censoring, occurring when follow-up ends or a patient is lost before the event of interest has occurred.
An optimisation approach seeking a solution that performs well across a range of possible uncertain parameter values, rather than one best-guess scenario.
An estimate of a regression coefficient's statistical uncertainty that remains valid even when standard modelling assumptions, such as constant error variance, are violated.
A graph depicting the trade-off between a test's true positive rate and false positive rate across a full range of decision thresholds.
An alternative term for folding back, the process of solving a decision tree by working backward from final outcomes to the initial node.
A measure of average prediction error, the square root of the average squared difference between predicted and observed values, in the outcome's units.
The difference introduced when a numerical value is rounded to fit a limited number of digits.
A class of flexible parametric survival models using restricted cubic splines to represent a transformed survival or hazard function while remaining fully parametric.
The process of determining the number of participants a study needs to have an adequate chance of detecting a specified treatment effect.
A method calculating an estimator's variance that remains valid even when standard model assumptions are violated, forming the basis of robust standard errors.
A measure of whether a provider is operating at its optimal size, distinct from whether it uses its current scale of inputs efficiently.
A diagnostic technique testing the proportional hazards assumption by scaling Schoenfeld residuals by their variance to improve test power.