In this paper we present an estimating equation approach to statistical inference for non-linear random effects regression models for correlated data. With this approach, the distribution of the observations and the random effects need not be specified; only their expectation and covariance structur
Mixed Model Discrete Regression
โ Scribed by J. Zhaorong; C. A. McGilchrist; M. A. Jorgensen
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 392 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0323-3847
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โฆ Synopsis
Abstract
Models and estimention procedures are given for linear regression models in discrete distributions when the regression contains both fixed and random effects. The methods are developed for discrete variables with typically a small number of possible outcomes such as occurs in ordinal regression. The method is applied to a problem arising in the comparison of microbiological test methods.
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