Individual Patient Meta-Analysis
An evidence synthesis approach combining original patient-level records from multiple studies into one unified dataset, rather than only summary statistics.
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 evidence synthesis approach combining original patient-level records from multiple studies into one unified dataset, rather than only summary statistics.
A form of censoring in which the reason observation ends is related to a participant's underlying risk, violating standard survival analysis assumptions.
A variable associated with the exposure of interest but with no direct effect on the outcome except through that exposure, used to address confounding.
A technique estimating a causal effect despite unmeasured confounding, using a variable that affects treatment but not the outcome except through treatment.
A method analysing trial data by original random treatment assignment, regardless of whether participants actually received or completed that treatment.
The degree of agreement between two or more independent observers assessing the same phenomenon, commonly quantified using a statistic such as Cohen's kappa.
A planned analysis of trial data conducted before final completion, typically to assess safety, efficacy, or futility and inform continuation decisions.
A measure of how well different items within an instrument, all meant to assess the same construct, produce correlated results.
A dispersion measure calculated as the difference between the seventy-fifth and twenty-fifth percentiles, the range containing the middle half of observations.
A quasi-experimental design analysing observations before and after an intervention, testing for a significant change in level or trend at that point.
The degree of agreement between repeated assessments made by the same rater evaluating the same phenomenon on separate occasions.
A measure quantifying the proportion of total variance in an outcome attributable to differences between groups or clusters, relative to variance within them.
A resampling technique estimating a statistic's variability by systematically recalculating it after removing one observation at a time.
An estimate of a parameter's statistical uncertainty calculated using the jackknife technique of omitting one observation at a time and examining resulting variability.
A technique assessing how well a model generalises by dividing data into equal folds, training on all but one and testing on the rest.
A factor analysis rule retaining only factors with an eigenvalue greater than one, since these explain more variance than a single original variable.
A non-parametric measure of association between two ranked variables, based on the number of concordant and discordant pairs of observations.
A measure describing a distribution's tail shape relative to a normal distribution, higher values indicating heavier tails and more extreme outliers.
A missing data method substituting a participant's most recent value for all subsequent missing time points, assuming their condition stayed unchanged.
A technique identifying unobserved, categorical subgroups within a population from patterns of responses, assuming these fully explain the observed associations.