We propose a likelihood method for estimating parameters in generalized linear models with missing covariates and a non-ignorable missing data mechanism. In this paper, we focus on one missing covariate. We use a logistic model for the probability that the covariate is missing, and allow this probab
Generalized linear mixed models with informative dropouts and missing covariates
โ Scribed by Kunling Wu; Lang Wu
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 215 KB
- Volume
- 66
- Category
- Article
- ISSN
- 0026-1335
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