Abstract
The summary measures approach to analysing repeated measures is described. The circumstances under which it can be advantageous to use such measures are considered. Strategies for baseline adjustment where there are multiple baselines are examined, as is the choice of appropriate summary statistic. A compromise trend/mean measure, regression through the origin, is proposed as being useful under some circumstances An analysis using this measure is illustrated with a suitable example.
| Original language | English |
|---|---|
| Title of host publication | Tutorials in Biostatistics, Statistical Methods in Clinical Studies |
| Publisher | Wiley |
| Pages | 379-395 |
| Number of pages | 17 |
| Volume | 1 |
| ISBN (Electronic) | 9780470023679 |
| ISBN (Print) | 0470023651, 9780470023655 |
| DOIs | |
| Publication status | Published - 24 Aug 2005 |
| Externally published | Yes |
Keywords
- Albumin excretion rate (AER)
- Area under the concentration time curve (AUC)
- Baseline measurement
- Independent analysis method
- Mean of the post-randomization measurements (MEAN)
- OLS slope estimate
- Single endpoint
- Summary measures approach
- Trend effect