Repeated measures data are frequently incomplete, unbalanced and correlated. There has been a great deal of recent interest in mixed effects models for analysing such data. In this paper, we develop bivariate response mixed effects models that are a generalization of linear mixed effects models for
Designs for Discrimination Between Bivariate Binary Response Models
β Scribed by Yukto Yanagisawa
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 444 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0323-3847
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β¦ Synopsis
Suiniitctry
We propose R test statistic for discrimination between alternative bivariate binary response models and the optimal design procedtm which is an extension of 'T-optimality. Under certain conditions w e prove that the maximum value of the power ean be.obtained.when the degrees of freedom pf the test statistic is one. The conclusion is the same as that in discrimination between alternative univariate separate models. However the test statistics are different.
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