## Abstract Without realizing the fact that the timeβdependent covariates corresponding to the repeated discrete responses under a generalized linear longitudinal model (GLLM) cause nonβstationary (time dependent) correlations for the repeated responses, many existing studies use a stationary (eith
Preface to the special issue on inferences in generalized linear longitudinal mixed models
β Scribed by Brajendra Sutradhar
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- French
- Weight
- 121 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0319-5724
No coin nor oath required. For personal study only.
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In view of the cumbersome and often intractable numerical integrations required for a full likelihood analysis, several suggestions have been made recently for approximate inference in generalized linear mixed models (GLMMs). Two closely related approximate methods are the penalized quasi-likelihood
The general linear mixed model provides a useful approach for analysing a wide variety of data structures which practising statisticians often encounter. Two such data structures which can be problematic to analyse are unbalanced repeated measures data and longitudinal data. Owing to recent advances