ANTEDEPENDENCE MODELLING FOR REPEATED MEASURES DATA

Repeated measures data arise when observations are taken on each experimental unit on a number of occasions, and time is a factor of interest. Many techniques can be used to analyse such data. Antedependence modelling allows one to test for statistically significant differences between treatments in an experiment when there are correlations between successive measurements.

Antedependence modelling is most useful in analysing data from an experiment with one or more treatment factors and where measurements are repeated on many (say 8 or more) occasions.

Author : G.W.Horgan , Biomathematics and Statistics Scotland, UK © BioSS 1996