Interpersonal Comparison of Utility
An interpersonal comparison of utility is a value judgement comparing the welfare levels or gains of different people, as summing QALYs or pounds does.
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An interpersonal comparison of utility is a value judgement comparing the welfare levels or gains of different people, as summing QALYs or pounds does.
Interpolation estimates a value between observed or modelled data points using an assumed relationship across the interval.
The interquartile range (IQR) is the gap between the 25th and 75th percentiles, the spread of the middle half of data such as skewed patient costs.
Interval censoring occurs when a patient's event time, such as disease progression, is known only to lie between two assessments, such as two trial scans.
An intervention is any test, treatment, programme, strategy or policy aimed at health or care; HTA compares its costs and effects with alternatives.
The intraclass correlation (ICC) is the share of variance in a health outcome lying between patients or clusters, used to judge reliability and clustering.
The jackknife is a resampling method that recomputes an estimate, such as mean cost, leaving out each observation in turn to gauge bias and standard error.
A joint model fits a repeatedly measured biomarker and time to an event such as death together, so survival estimates for economic models reflect the link.
An internal validation procedure that repeatedly fits a model on all but one of K data folds and evaluates it on the held-out fold.
The Kakwani index measures the progressivity of health care financing as the concentration index of payments minus the Gini coefficient of ability to pay.
A recursive estimator that predicts an evolving latent state and updates that estimate and its uncertainty when a new noisy measurement arrives.
A graphical display of the Kaplan-Meier survival estimate, shown as a step function that decreases at each observed event over time.
The Kaplan–Meier estimator calculates a non-parametric estimate of the survival function when follow-up can be right-censored.
The overall approach of estimating and comparing survival functions using the Kaplan-Meier estimator, accounting for censored observations in time-to-event data.
The kappa statistic (Cohen's kappa) measures chance-corrected agreement between two raters on a categorical judgement, such as reviewers screening studies.
Kendall tau is a rank correlation from minus one to one, comparing how often two rankings of health states or treatments order pairs alike or reversed.
Kurtosis is the standardised fourth moment of a distribution, a measure of tail heaviness that flags rare extreme values such as very high patient costs.
Landmark analysis is a survival method that starts follow-up at a set time, keeps only patients still event-free then and groups them by their status then.
Last observation carried forward (LOCF) fills missing trial follow-up values with each participant's last observed value, assuming no change after dropout.
Latent class analysis (LCA) finds unobserved patient subgroups from patterns in categorical data, such as recorded conditions or diagnostic test results.