The generalized estimation equation (GEE) method, one of the generalized linear models for longitudinal data, has been used widely in medical research. However, the related sensitivity analysis problem has not been explored intensively. One of the possible reasons for this was due to the correlated
Application of generalized linear models to the analysis of toxicity test data
โ Scribed by A. Maul
- Publisher
- Springer
- Year
- 1992
- Tongue
- English
- Weight
- 454 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0167-6369
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โฆ Synopsis
Generalized linear models give a unified approach to the performance of regression analysis of dichotomous, count or continuous data. This paper studies binomial, negative binomial and gamma regression models and gives a detailed description of inference procedures based on them. In particular, the maximum likelihood procedure is described for a logistic function (binomial regression) or a log-linear regression model (negative binomial and gamma regression). The process of model fitting and evaluation is illustrated by examples referring to the determination of endpoints in acute and chronic toxicity tests.
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