Generalized additive mixed models

Communications in Statistics - Theory and Methods

Volumn 29, Issue 5-6, 2000, Pages 1257-1271

  Chen, Colin ^a  

^a SAS INSTITUTE INC   (United States)

Author keywords

Additive mixed models; Backfitting; Generalized linear mixed models; Linear mixed models; Penalized marginal likelihood; Smooth spline

Indexed keywords

EID: 26844450363     PISSN: 03610926     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Breslow, N. E. and Clayton, D. G. (1993). Approximate inference in general ized linear mixed models. J. Amer. Statist. Assoc., 88, 9-25.
2. Chen C. (1998). Additive mixed models. Proceedings of the Biopharmaceutical Section. Dallas, Texas.
3. Chen C., Chock, D. P. and Winkler S. L. (1999). A simulation study of the epidemiological impact of air pollution: diagnostics of the confounding effects for generalized linear model. Statistical Models in Epidemiology, the Environmental and Clinical Trials. Eds. Halloran, E. M. and Berry, D. Springer-Verlag, New York.
4. Hastie, T. J. and Tibshirani, R. J. (1990). Generalized additive models. London: Chapman and Hall.
5. Laird, N. M. and Ware, J. H. (1982). Random effects models for longitudinal data. Biometrics, 38, 963-974.
6. Lin X. and Zhang D. (1999) Inference in generalized additive mixed models by using smoothing splines. J. R. Statist. Soc. B, 61, 381-400.
7. McCullagh, P. and Neider, J. A. (1989). Generalized, linear models. 2nd edition. London: Chapmall Hall.
8. McCulloch, C.E. (1997). Maximum likelihood algorithms for generalized linear mixed models. J. Amer. Statist. Assoc., 92, 162-170.