Abstract
Whilst the repeated measurements methods appropriate for the analysis of normally distributed data are well established, methods for handling binary and categorical data in a repeated measurements context are not so commonly known or used. The application of population averaged models and subject effects models to repeated binary data are discussed and their implementation with the aid of SAS are illustrated by example. comparisons with other approaches are also considered.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Allan, Eleanor F.
(1997).
"ANALYSING BINARY DATA IN A REPEATED MEASUREMENTS SETTING USING SAS,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1293
ANALYSING BINARY DATA IN A REPEATED MEASUREMENTS SETTING USING SAS
Whilst the repeated measurements methods appropriate for the analysis of normally distributed data are well established, methods for handling binary and categorical data in a repeated measurements context are not so commonly known or used. The application of population averaged models and subject effects models to repeated binary data are discussed and their implementation with the aid of SAS are illustrated by example. comparisons with other approaches are also considered.
