Approximate conditional likelihood for generalized linear models with general missing data mechanism
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,Computer Science (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s11424-017-6188-3.pdf
Reference15 articles.
1. McCullagh P and Nelder J A, Generalized Linear Models, 2nd Edition, Chapman & Hall/CRC, 1989.
2. Little R J and Rubin D B, Statistical Analysis with Missing Data, 2nd Edition, Wiley, New York, 2002.
3. Tsiatis A A, Semiparametric Theory and Missing Data, Springer, 2006.
4. Ibrahim J G, Chen M H, Lipsitz S R, et al., Missing-data methods for generalized linear models: A comparative review, Journal of the American Statistical Association, 2005, 100: 332–346.
5. Tang G, Little R J, and Raghunathan T E, Analysis of multivariate missing data with nonignorable nonresponse. Biometrika, 2003, 90: 747–764.
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