Liang and Zeger introduced a class of estimating equations that gives consistent estimates of regression parameters and of their variances in the class of generalized linear models for longitudinal data. When the response variable in such models is subject to overdispersion, the oerdispersion parame
โฆ LIBER โฆ
Estimation of Regression Parameters in Generalized Linear Models for Cluster Correlated Data with Measurement Error
โ Scribed by B. C. Sutradhar and J. N. K. Rao
- Book ID
- 115057072
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- French
- Weight
- 716 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0319-5724
- DOI
- 10.2307/3315624
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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 and other nonlinear variance component models. For example, we refer to the penaliz