Methods

Notes on the statistical tools used to study ageing, health and inequality.

This section collects methods notes, explainers and practical reflections. The focus is on useful statistical thinking rather than abstract technique for its own sake. Methods matter because they decide what we can see, what we miss, and how honestly we describe uncertainty.

Method areas: health expectancy, microsimulation, longitudinal data, survival analysis, competing risks, multistate models, Bayesian uncertainty, causal inference, population projections, missing data, measurement and visualisation.
Future notes

Methods still to explain

Future notes may include what health expectancy is, what a microsimulation model actually does, why uncertainty matters in population projections, censoring, competing risks and plain-English multistate models.