A variety of methods are available for analysing repeated measurements data where the outcome is continuous. However, there is little information on how established methods, such as summary statistics and repeated measures analysis of variance (RMAOV), compare in practice with methods that have beco
A COMPARATIVE STUDY OF FOUR METHODS FOR ANALYSING REPEATED MEASURES DATA
โ Scribed by ORLY MANOR; JEREMY D. KARK
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 964 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper compares four alternative statistical methods for the analysis of repeated measures data. The data set involves fatty acid composition of red blood cell membrane examined after acute MI and is characterized by a moderate sample size, unbalanced repeated measures and high within-individual correlations. Two methods are based on individual curve fitting and two on the random effects model. Results yielded by the four methods differed. The advantages and disadvantages of the methods are discussed. Assumptions required for the valid application of these methods are tested.
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