Handling Baselines in Repeated Measures Analyses with Missing Data at Random
β Scribed by Dinh, Phillip; Yang, Peiling
- Book ID
- 127219031
- Publisher
- Taylor and Francis Group
- Year
- 2011
- Tongue
- English
- Weight
- 229 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1054-3406
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
For small samples of Gaussian repeated measures with missing data, Barton and Cramer recommended using the EM algorithm for estimation and reducing the degrees of freedom for an analogue of Rao's F approximation to Wilks' test. Computer simulations led to the conclusion that the modified test was sl
Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates
In this paper, repeated measures with intraclass correlation model is considered when the observations are missing at random. An exact test for the equality of the mean components and simultaneous confidence intervals (Scheffe Β΄and Bonferroni inequality types) are given for linear contrasts of the m