Poisson mixed models are used to analyze a wide variety of cluster count data. These models are commonly developed based on the assumption that the random effects have either the lognormal or the gamma distribution. Obtaining consistent as well as efficient estimates for the parameters involved in s
Mixed-effects models with random cluster sizes
β Scribed by Jiming Jiang
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 88 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0167-7152
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β¦ Synopsis
Mixed e ects models are often used in situations where responses are clustered. In this paper, we show that in the case of generalized linear mixed models where the cluster sizes are assumed to be independent random variables, whose joint distribution is unknown but does not depend on the parameters involved in the mixed model, the standard maximum likelihood estimation procedure assuming nonrandom cluster sizes can be applied without modiΓΏcation. Some extensions of the result are discussed.
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