Correspondence analysis of longitudinal data
Publication date
2005
Authors
Van der Heijden, P.G.M.
Editors
P. Armitage
T. Colton
Advisors
Supervisors
Document Type
Part of book
Metadata
Show full item recordCollections
License
Abstract
Correspondence analysis is an exploratory tool for the analysis of associations between categorical variables, the results of which may be displayed graphically. For longitudinal data with two time points, an analysis of the transition matrix (showing the relative frequencies for pairs of categories) provides insight into the structure of departures from independence in the transitions. Transitions between more than two time points can be studied simultaneously. Examples are provided.
Keywords
categorical data, contingency table, latent class analysis, superindicator matrix, Burt matrix, event history data
Citation
Van der Heijden, P G M 2005, Correspondence analysis of longitudinal data. in P. Armitage & T. Colton (eds), Encyclopedia of Biostatistics . 2nd edn, Wiley, Chichester, pp. 1230-1234. https://doi.org/10.1002/0470011815.b2a12015