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Missing covariates in generalized linear models when the missing data mechanism is non-ignorable

โœ Scribed by J. G. Ibrahim; S. R. Lipsitz; M.-H. Chen

Book ID
108547485
Publisher
Blackwell Publishing
Year
1999
Tongue
English
Weight
215 KB
Volume
61
Category
Article
ISSN
0952-8385

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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